aliases list | alignment_disposition string | benchmark_case_id string | benchmark_track string | claim_uid string | contract dict | contract_sha256 string | migration_status string | modality string | pre_v2_contract_sha256 string | provenance list | question string | question_sha256 string | reference_id string | scientific_core_sha256 string | semantic_cluster_id string | target_family string | task_ids list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"asd_q036"
] | aligned_with_safety_augmentation | ncb-scientific-61274f38e0112edd | scientific | ncb-claim-11b4ebf49e0a3c2a | {
"claim_id": "asd_q036",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_SomMot_SomMot",
"predictor": ... | 61274f38e0112edde8180b2b74bd970e73a3a503b87528dec8547ff8d39e08d3 | ready | fMRI-FC | 61274f38e0112edde8180b2b74bd970e73a3a503b87528dec8547ff8d39e08d3 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q036",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "asd"
}
] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_SomMot_SomMot differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 535c84f3611c6ee5e986210892b96d640bef5506a5df6811d8df0c847b6c21b5 | ncb-scientific-61274f38e0112edd | 60d0918cd31da445f4f6856485f84fa783456f574180a65bcecc0296786ee0e8 | ncb-sem-11b4ebf49e0a3c2a | asd | [
"ncb21-task-121e269865518790"
] |
[
"psychosis_q028"
] | aligned | ncb-scientific-6130b7ec9d114c16 | scientific | ncb-claim-2ccad72c3141229c | {
"claim_id": "psychosis_q028",
"covariates": [],
"discovery_cohort": "FBIRN_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_between_network",
"predictor": "confirm_dx",
"region_set": ... | 6130b7ec9d114c162d53c779a173cc930024074dfc2f729afa0cd4fc7c5e3827 | ready | fMRI-FC | 6130b7ec9d114c162d53c779a173cc930024074dfc2f729afa0cd4fc7c5e3827 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q028",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In FBIRN_DISC, do SZ and HC participants differ in fc_between_network in an unadjusted dx-only group comparison with no covariates? | d40b471f39d3f359ec9a43c6dbba7db2c2ecbf620038ab06d3d5c2d59be6edcc | ncb-scientific-6130b7ec9d114c16 | d5f7a148dbdb909ed1e20a8310ac007e878cf9b8f3d35a9774bc0ff4f207043f | ncb-sem-2ccad72c3141229c | psychosis | [
"ncb21-task-be735a5c5e04df19"
] |
[
"psychosis_q015"
] | aligned | ncb-scientific-622e97baf8eece3c | scientific | ncb-claim-6c35024a79091cc0 | {
"claim_id": "psychosis_q015",
"covariates": [],
"discovery_cohort": "COBRE_REP",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_within_network",
"predictor": "confirm_dx",
"region_set": nul... | 622e97baf8eece3cc6a62615addca82592c24a5eb42cd164d81459a0d041eaab | ready | fMRI-FC | 622e97baf8eece3cc6a62615addca82592c24a5eb42cd164d81459a0d041eaab | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q015",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In COBRE_REP, is fc_within_network lower in SZ than HC in an unadjusted dx-only comparison with no covariates? | cd3601dfd0043d88bca145b4600da4e750740d909e5ebba12c6d2b4749b0d7ae | ncb-scientific-622e97baf8eece3c | a626fe8c7acf49642db12b8ed6ac78e955ad07b699f245210ab49bc66f6666a5 | ncb-sem-6c35024a79091cc0 | psychosis | [
"ncb21-task-fee6640bb16b3dd4"
] |
[
"adhd_q037"
] | aligned_with_safety_augmentation | ncb-scientific-629feeb21e3e9864 | scientific | ncb-claim-ff10f2963ca8353f | {
"claim_id": "adhd_q037",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Cont_Limbic_z",
"predictor"... | 629feeb21e3e9864c374fe0a35b51260f4056a8fc7b7c45d4791bf412ac10a1f | ready | fMRI-FC | 629feeb21e3e9864c374fe0a35b51260f4056a8fc7b7c45d4791bf412ac10a1f | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q037",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ADHD200_DISC and ADHD200_REP separately, is any ADHD diagnosis (dx in {1,2,3}) versus control (dx=0) associated with altered Control-Limbic connectivity (fc_fc_Cont_Limbic_z), with no additional covariates? | 196dd3e4394e83b00b491c411759ce51abf92f697318f03791d067b441430cca | ncb-scientific-629feeb21e3e9864 | 3c2bb7f77404ad4d112f71c004fbea60dea87d6c07c3b645c04ac4d08226ed9a | ncb-sem-ff10f2963ca8353f | adhd | [
"ncb21-task-6bae7b3e8e8252e2"
] |
[
"normative_fmri_035"
] | aligned_with_safety_augmentation | ncb-scientific-65466f9b282b22be | scientific | ncb-claim-3faf51692de70837 | {
"claim_id": "normative_fmri_035",
"covariates": [
"sex",
"phen_fluid_composite",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "negative",
"group": null,
"outcome": "fc_fc_SomMot_Vis_z",
"predictor": "age",
"region_set": null,
"type": "association"... | 65466f9b282b22be1e717ceaf51a11a1383878fa6f0987faf8a0e2a126ffa737 | ready | fMRI-FC | 65466f9b282b22be1e717ceaf51a11a1383878fa6f0987faf8a0e2a126ffa737 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_035",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | Among ABCD participants with dx=0.0, in ABCD_DISC with replication in ABCD_REP, is higher age associated with lower somatomotor-to-visual connectivity (fc_fc_SomMot_Vis_z), adjusting for sex and cognition? | fa4fde5a5fdfbbd433747fbd9e5e95781de4d8fda940f64d4b4c99da4ca207b5 | ncb-scientific-65466f9b282b22be | 8e8582256f8183b887382f041b4028bab4fb376e9c6acaaf426302c29821a63e | ncb-sem-3faf51692de70837 | normative_fmri | [
"ncb21-task-dd6c4a9f13fbc09a"
] |
[
"adhd_q012"
] | aligned_with_safety_augmentation | ncb-scientific-6560b15c380073ca | scientific | ncb-claim-b9ed4cced1a322ad | {
"claim_id": "adhd_q012",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "positive",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_SalVentAttn_z",
"pre... | 6560b15c380073caf1f8bfe84bf2978902d6605bfe8aacd3a4262b47295b8f9f | ready | fMRI-FC | 6560b15c380073caf1f8bfe84bf2978902d6605bfe8aacd3a4262b47295b8f9f | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q012",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ADHD200_DISC, is any ADHD diagnosis (dx in {1,2,3}) versus control (dx=0) associated with higher Default-Salience/VentralAttention connectivity (fc_fc_Default_SalVentAttn_z), with no additional covariates, and is the same direction observed in ADHD200_REP? | a70e1f9d988aaa993e4c01e912ae225e84ea38b28a642a1cf266e866cc27c789 | ncb-scientific-6560b15c380073ca | 5a3fc388953a1d99d7c91f108c87442103cd1d2a95f5fcea35cd97bf1f52b672 | ncb-sem-b9ed4cced1a322ad | adhd | [
"ncb21-task-38f81a83ea1721fa"
] |
[
"psychosis_q035"
] | aligned | ncb-scientific-66560a7fd0e34141 | scientific | ncb-claim-6c35024a79091cc0 | {
"claim_id": "psychosis_q035",
"covariates": [],
"discovery_cohort": "BSNIP2_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_within_network",
"predictor": "confirm_dx",
"region_set": n... | 66560a7fd0e34141ba219136468ed4d54ee064cfff748f6d27aa451fbfd80069 | ready | fMRI-FC | 66560a7fd0e34141ba219136468ed4d54ee064cfff748f6d27aa451fbfd80069 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q035",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | Across BSNIP2_DISC and BSNIP2_REP, is the SZ-versus-HC contrast for fc_within_network directionally consistent with lower values in SZ in unadjusted comparisons using dx only and no covariates? | b2c71003102c909dd34665617cad7aab274086031a08aad7bde388b035a8a425 | ncb-scientific-66560a7fd0e34141 | f83a1ae1018ea674e15dfd64a763eb2404c0875fa6d9ad51b7f5d3e43992a3f2 | ncb-sem-6c35024a79091cc0 | psychosis | [
"ncb21-task-d38cdec7e50cc0a1"
] |
[
"adhd_q029"
] | aligned | ncb-scientific-672ab5d3a6c11820 | scientific | ncb-claim-5a84905f957c48be | {
"claim_id": "adhd_q029",
"covariates": [],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Cont_Limbic_z",
"predictor": "confirm_dx",
"region_set": null,... | 672ab5d3a6c11820c5309d195f4983f50a16b545c77a52895353cabd01a16c41 | ready | fMRI-FC | 672ab5d3a6c11820c5309d195f4983f50a16b545c77a52895353cabd01a16c41 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q029",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ABCD_DISC and ABCD_REP separately, excluding missing dx, is ADHD status (dx=1.0 vs dx=0.0) associated with altered Control-Limbic connectivity (fc_fc_Cont_Limbic_z), with no additional covariates? | 8069bf44701accf46bd6077c1bf6e256531848908436c8c220dc354c8884d675 | ncb-scientific-672ab5d3a6c11820 | 57bf1b3c8d9c648dc25efc38e4b6c1114c0ab6b08af9a702809fb5b4ed40105a | ncb-sem-5a84905f957c48be | adhd | [
"ncb21-task-9026d43b8d831fe5"
] |
[
"adhd_q014"
] | aligned_with_safety_augmentation | ncb-scientific-673bb19e90e472ee | scientific | ncb-claim-f1008f8ce10847e7 | {
"claim_id": "adhd_q014",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Cont_Cont_z",
"predictor": ... | 673bb19e90e472ee10d6eec6ebed40c685d29a6fc14e9e6ccc9f73a520eaedcb | ready | fMRI-FC | 673bb19e90e472ee10d6eec6ebed40c685d29a6fc14e9e6ccc9f73a520eaedcb | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q014",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ADHD200_DISC, do participants with any ADHD diagnosis (dx in {1,2,3}) differ from controls (dx=0) in within-Control connectivity (fc_fc_Cont_Cont_z), with no additional covariates, and is the difference replicated in ADHD200_REP? | 622641744e830c2f446d55b2fbf3037374ca42fcb462f2a58b6f220fff9599b6 | ncb-scientific-673bb19e90e472ee | e11ee1f210ea000ae296b1e69020239603fa6c24b35d919ed629c59c76f6820c | ncb-sem-f1008f8ce10847e7 | adhd | [
"ncb21-task-794f22c1c72a1a42"
] |
[
"pubmed_34183210_pmid34183210_3"
] | ambiguous_unresolved | ncb-scientific-67542fa55426a130 | scientific | ncb-claim-11fa9b8767d1b07f | {
"claim_id": "pubmed_34183210_pmid34183210_3",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "BSNIP2_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_",
"predict... | 67542fa55426a13052157d88d588a5334147c1872c82514b9edcf4651c8ca7b7 | ambiguous_unresolved | fMRI-FC | 67542fa55426a13052157d88d588a5334147c1872c82514b9edcf4651c8ca7b7 | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:34183210; DOI:10.1016/j.schres.2021.06.010",
"source_collection": "stage2_current",
"source_id": "pubmed_34183210_pmid34183210_3",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all-gpt55/combine... | For literature-grounded non-adherent psychosis relapse after antipsychotic discontinuation vs healthy controls effect on striatal resting-state functional connectivity / striatal connectivity index in fMRI-FC, using BSNIP2 as discovery and COBRE as replication, test the claim with expected direction negative and adjust... | 5e39442e81e6c65c25df1fa2755209bd778a26106e6ec722718fcc75aa7ba755 | ncb-scientific-67542fa55426a130 | 58766d8c78f493c84542c891b6c477ad95b2ed1b361d5dd69b1967e40dbc37e9 | ncb-sem-11fa9b8767d1b07f | psychosis | [] |
[
"psychosis_q021"
] | aligned_with_safety_augmentation | ncb-scientific-675abad09b88a363 | scientific | ncb-claim-0de9c0c5b4d3defc | {
"claim_id": "psychosis_q021",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ChineseSZ_REP",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_mean_positive",
"predicto... | 675abad09b88a3632ae7d7ac4e199a4a0e5c99415e8c1ac16c601d7e16a98f35 | ready | fMRI-FC | 675abad09b88a3632ae7d7ac4e199a4a0e5c99415e8c1ac16c601d7e16a98f35 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q021",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In ChineseSZ_REP, is SZ associated with lower fc_mean_positive than HC in an unadjusted group comparison using dx as the only predictor and no covariates? | 8fd27de88aa35b3a6a2ec48c67ab06e612a8dde12ba9d0b206768d8187d88b76 | ncb-scientific-675abad09b88a363 | 48cce6d09b75baf6211dea22d8f7d4ade78eac5e34dad5210200abd36605c585 | ncb-sem-0de9c0c5b4d3defc | psychosis | [
"ncb21-task-d78aafebbd1fb7da"
] |
[
"sex_fc_abcd_hcp"
] | aligned | ncb-scientific-67bed34632da1fbb | scientific | ncb-claim-36a69884da53bafd | {
"claim_id": "sex_fc_abcd_hcp",
"covariates": [
"age",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "M",
"control": "F",
"var": "sex"
},
"outcome": "fc_fc_",
"predictor": "sex",
"region_set": "fMRI-FC",... | 67bed34632da1fbb2023a71e2192bb667fab4f85ea9c595480a539a7e23aae50 | ready | fMRI-FC | 67bed34632da1fbb2023a71e2192bb667fab4f85ea9c595480a539a7e23aae50 | [
{
"prior_label": "candidate_unknown",
"source_citation": "Ritchie et al. 2018 Cerebral Cortex [VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "sex_fc_abcd_hcp",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "norm... | For sex association with FC descriptors in fMRI-FC, using ABCD as discovery and HCP as replication, test the claim with expected direction two_sided and adjust for age;site when available. | 3aaa1f1809b8c707ef7e67b7db358ba1992e07a60225fa069bc2236d5096e2fa | ncb-scientific-67bed34632da1fbb | 1f3f68503dd7b955bd9d971a139be9c9fbac4071ffdfba3c5462f602a8160dac | ncb-sem-36a69884da53bafd | normative_fmri | [
"ncb21-task-e2e0ded9afa86172"
] |
[
"sex_smri_ukb_hcp"
] | ambiguous_unresolved | ncb-scientific-67d76c2c55e3d767 | scientific | ncb-claim-89f6c0228c8572ef | {
"claim_id": "sex_smri_ukb_hcp",
"covariates": [
"age",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "M",
"control": "F",
"var": "sex"
},
"outcome": "fc_fc_",
"predictor": "sex",
"region_set": "functiona... | 67d76c2c55e3d767dcf6aa1e5a4e1eff49b31d287c08991b34d2a15a08da165e | ambiguous_unresolved | fMRI-FC | 67d76c2c55e3d767dcf6aa1e5a4e1eff49b31d287c08991b34d2a15a08da165e | [
{
"prior_label": "candidate_unknown",
"source_citation": "Ritchie et al. 2018 Cerebral Cortex",
"source_collection": "legacy_scientific",
"source_id": "sex_smri_ukb_hcp",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "normative_fm... | For sex difference in eTIV-adjusted regional volume in sMRI, using UKB as discovery and HCP as replication, test the claim with expected direction two_sided and adjust for age;eTIV;site required when available. | f84689c5daa66fec2ba4e3e2e4cdebbc335389a5b53203fd45a79cf34d78cbab | ncb-scientific-67d76c2c55e3d767 | 6b4647c633e7b06b76781002d9099ffae3b1394e712d8dfff64dfab81a426a97 | ncb-sem-89f6c0228c8572ef | normative_fmri | [] |
[
"asd_q016"
] | aligned_with_safety_augmentation | ncb-scientific-67de4555230bc27a | scientific | ncb-claim-19d3c8e27c6bbb4a | {
"claim_id": "asd_q016",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Cont_SomMot",
"predictor": "c... | 67de4555230bc27a2720a39d25ba2b54acdc13b8df64eb624e3b7162eb249cbf | ready | fMRI-FC | 67de4555230bc27a2720a39d25ba2b54acdc13b8df64eb624e3b7162eb249cbf | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q016",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "asd"
}
] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_Cont_SomMot differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 654a3102c3e5567fe9888032fe503d19751fd9f4e96af2c0b8f3911ce7009c75 | ncb-scientific-67de4555230bc27a | 04cd4c226be0360077fe00bab7174c4acafdd43d7133e6dcd7acace0e45d5a44 | ncb-sem-19d3c8e27c6bbb4a | asd | [
"ncb21-task-91d790dba534ab02"
] |
[
"asd_q027"
] | aligned_with_safety_augmentation | ncb-scientific-68bd56b0483a236c | scientific | ncb-claim-e31d66eed7539323 | {
"claim_id": "asd_q027",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
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"group": {
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"var": "confirm_dx"
},
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"predictor"... | 68bd56b0483a236c99db6544b25fa5e81003dd38c2af773be2d3d39b9ad070a6 | ready | fMRI-FC | 68bd56b0483a236c99db6544b25fa5e81003dd38c2af773be2d3d39b9ad070a6 | [
{
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "asd"
}
] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_DorsAttn_SomMot differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 236f6f8d2cc35a40518e8dacfa931adce471b00d7c760cd18c013bf3c54ef816 | ncb-scientific-68bd56b0483a236c | 490b163a0c24bbdf0b3f7270828b0f7f828d680b0167fc3731564f6888d3725a | ncb-sem-e31d66eed7539323 | asd | [
"ncb21-task-d9e401da71a4285e"
] |
[
"normative_fmri_045"
] | ambiguous_unresolved | ncb-scientific-690059388e87cd26 | scientific | ncb-claim-18d8cddf88029c3d | {
"claim_id": "normative_fmri_045",
"covariates": [
"age",
"site"
],
"discovery_cohort": "HCP_DISC",
"estimand": {
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"control": "M",
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},
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"predictor": "sex",
"regi... | 690059388e87cd26592bbc46e5ac8bbea895a422df119dd8bc4b9991c1c1ad32 | ambiguous_unresolved | fMRI-FC | 690059388e87cd26592bbc46e5ac8bbea895a422df119dd8bc4b9991c1c1ad32 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | Across HCP_DISC and UKB_DISC, with replication in HCP_REP and UKB_REP, do females and males differ consistently in default-mode within-network connectivity (fc_fc_Default_Default_z), adjusting for age and cognition within each cohort? | 29ddfc5ddd8bde3c001566daff310ec9dcd45c7fba2b0f60a978c4e94749f38c | ncb-scientific-690059388e87cd26 | 7f09b0ca6508f70bc0a84626ffe5d49d534c989458cfb84c6f7423d16849ecac | ncb-sem-18d8cddf88029c3d | normative_fmri | [] |
[
"ad_aging_q050"
] | aligned_with_safety_augmentation | ncb-scientific-693510493058a91a | scientific | ncb-claim-35aeb4ea0eac989b | {
"claim_id": "ad_aging_q050",
"covariates": [
"sex",
"site"
],
"discovery_cohort": "ADNI_fMRI_REP",
"estimand": {
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"group": null,
"outcome": "fc_fc_Default_Default_z",
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"region_set": null,
"type": "association",
"unit": "scalar"
... | 693510493058a91ac8ead80536de2a54f1331e925b11ad3d69d871fe6c93a395 | ready | fMRI-FC | 693510493058a91ac8ead80536de2a54f1331e925b11ad3d69d871fe6c93a395 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
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"source_id": "ad_aging_q050",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In ADNI_fMRI_REP, among participants with diagnosis code 0.0, is older age associated with lower fc_fc_Default_Default_z, adjusting for sex? | aa45e9ce98d6bf9a085b236d361b96eb961449b6585db351c1c053c0992f5275 | ncb-scientific-693510493058a91a | e1564050ab1fc9e445ec99036e312ef4c6c69e6d0563e73d20263bc9ff980391 | ncb-sem-35aeb4ea0eac989b | ad_aging | [
"ncb21-task-ddff0dc3276c59c9"
] |
[
"adhd_q019"
] | aligned_with_safety_augmentation | ncb-scientific-693e96c3edd41a98 | scientific | ncb-claim-121f221d8a57572f | {
"claim_id": "adhd_q019",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
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"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_Vis_z",
"predictor"... | 693e96c3edd41a9856cb1b6e96bb8253640f34d8470d19f03c7bab4b2b47a73d | ready | fMRI-FC | 693e96c3edd41a9856cb1b6e96bb8253640f34d8470d19f03c7bab4b2b47a73d | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ADHD200_DISC, is any ADHD diagnosis (dx in {1,2,3}) versus control (dx=0) associated with altered Visual-Default connectivity (fc_fc_Default_Vis_z), with no additional covariates, and does this association replicate in ADHD200_REP? | ab7b279cffe1cafac8c3ae4aabe1b8cc35215766552fc9a17aef05bcb0ddb4aa | ncb-scientific-693e96c3edd41a98 | f2dfca6472dd2670c00861835cf4779072c3f6a97fb6af749b423d53d0ced7dd | ncb-sem-121f221d8a57572f | adhd | [
"ncb21-task-79d124c80a9f3f93"
] |
[
"psychosis_q018"
] | aligned_with_safety_augmentation | ncb-scientific-6aa47e3b129ad9fb | scientific | ncb-claim-893ac2c9b485762f | {
"claim_id": "psychosis_q018",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ChineseSZ_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_mean_abs",
"predictor":... | 6aa47e3b129ad9fb3b897f8e59d71e00f8f3abe34d5515c19a65bf8a5c880e1a | ready | fMRI-FC | 6aa47e3b129ad9fb3b897f8e59d71e00f8f3abe34d5515c19a65bf8a5c880e1a | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q018",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In ChineseSZ_DISC, do SZ participants differ from HC participants in fc_mean_abs in an unadjusted dx-only group comparison with no covariates? | 074c94e46de6318e076d953f0b4b4512f273a90851b345b12aa65fe8e6a544d2 | ncb-scientific-6aa47e3b129ad9fb | 1f25292a340946358354a285063b38888d03785da7aa7745ad6744533f28ed4e | ncb-sem-893ac2c9b485762f | psychosis | [
"ncb21-task-6ff6d5213109f836"
] |
[
"adhd_q004"
] | aligned_with_safety_augmentation | ncb-scientific-6bedac272110f713 | scientific | ncb-claim-57936e3548ab028f | {
"claim_id": "adhd_q004",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Cont_DorsAttn_z",
"predictor": ... | 6bedac272110f71307ba214166242c783aaabb9d2c90371d6e25cf14b2258297 | ready | fMRI-FC | 6bedac272110f71307ba214166242c783aaabb9d2c90371d6e25cf14b2258297 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q004",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ABCD_DISC, excluding missing dx, is ADHD status (dx=1.0 vs dx=0.0) associated with lower Control-DorsalAttention connectivity (fc_fc_Cont_DorsAttn_z), with no additional covariates, and does ABCD_REP show the same direction? | aafddaff6e02d26deda394069fd3fddfb42755355228d65e871f1ec7543099f9 | ncb-scientific-6bedac272110f713 | 176c043ea40f5f2781744b1c5ce5ad49f5ea34bde41c1a573055e15479085f69 | ncb-sem-57936e3548ab028f | adhd | [
"ncb21-task-b223c5ff80096a89"
] |
[
"adhd_q025"
] | non_executable | ncb-scientific-6c7b0f8ae69a2d50 | scientific | ncb-claim-6724d26a22b969a6 | {
"claim_id": "adhd_q025",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_SomMot_SomMot_z",
"predicto... | 6c7b0f8ae69a2d5037f71bb7af54369267c1d4746b35ba4b0575665297cfaab0 | non_executable | fMRI-FC | 6c7b0f8ae69a2d5037f71bb7af54369267c1d4746b35ba4b0575665297cfaab0 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
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"source_id": "adhd_q025",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ADHD200_DISC, does ADHD-hyperactive/impulsive type (dx=3) differ from ADHD-inattentive type (dx=2) in Somatomotor-Somatomotor connectivity (fc_fc_SomMot_SomMot_z), with no additional covariates, and is the contrast replicated in ADHD200_REP? | dfddb3a0185d744191436b6ac4caab79daa99d54a84b4d8c6324a84fe0f3ff04 | ncb-scientific-6c7b0f8ae69a2d50 | 5b1608974e8fadeccefbd272ad1e26c06d6524bc8c28f4a0e215bb384e28d7ed | ncb-sem-6724d26a22b969a6 | adhd | [] |
[
"psychosis_q012"
] | aligned | ncb-scientific-6c9d8d248e03fd07 | scientific | ncb-claim-2ccad72c3141229c | {
"claim_id": "psychosis_q012",
"covariates": [],
"discovery_cohort": "COBRE_DISC",
"estimand": {
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"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_between_network",
"predictor": "confirm_dx",
"region_set": ... | 6c9d8d248e03fd072175b3155b829fce548d5dc88bffc0dd63db73a27cc1b1f9 | ready | fMRI-FC | 6c9d8d248e03fd072175b3155b829fce548d5dc88bffc0dd63db73a27cc1b1f9 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q012",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In COBRE_DISC, do SZ and HC participants differ in fc_between_network in an unadjusted dx-only group comparison with no covariates? | f4973facbde2385f27bbaeeb38405ae850c4a5ef31c8a96a6f710a6288abebf7 | ncb-scientific-6c9d8d248e03fd07 | 86ac435effa92a0f64b37975853f1406de1ee6fe4d022ede8113f40c84ef8e63 | ncb-sem-2ccad72c3141229c | psychosis | [
"ncb21-task-6e851b324b0b1e82"
] |
[
"adhd_q032"
] | aligned_with_safety_augmentation | ncb-scientific-6d7bbb66ca61d088 | scientific | ncb-claim-1b16849bd998d463 | {
"claim_id": "adhd_q032",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
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"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_SalVentAttn_SalVentAttn_z",
"p... | 6d7bbb66ca61d088b1b6677f1693112e85a9ec6c6c0e8c82beb93a4244532157 | ready | fMRI-FC | 6d7bbb66ca61d088b1b6677f1693112e85a9ec6c6c0e8c82beb93a4244532157 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
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"source_id": "adhd_q032",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ABCD_DISC and ABCD_REP separately, excluding missing dx, is ADHD status (dx=1.0 vs dx=0.0) associated with altered within-Salience/VentralAttention connectivity (fc_fc_SalVentAttn_SalVentAttn_z), with no additional covariates? | b9fb1e9b10e4839537b121eb2ac8ba4bd59f83dc0db8480cccc887c2aa6e3d95 | ncb-scientific-6d7bbb66ca61d088 | cef9e6c85de79d3d6756e4d8e3c2a56cd806e99cdcb5ab3626e417ae41aef8dc | ncb-sem-1b16849bd998d463 | adhd | [
"ncb21-task-cfee782015d454f9"
] |
[
"cognition_fc_ukb_abcd"
] | ambiguous_unresolved | ncb-scientific-6efb2475137e21ce | scientific | ncb-claim-9a1ca31c71c1e012 | {
"claim_id": "cognition_fc_ukb_abcd",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
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"group": null,
"outcome": "fc_fc_",
"predictor": "phen_height",
"region_set": "fc_descriptors",
"type": "association",
... | 6efb2475137e21ce5e04d1f2becdf22e974672a1fef3082b57f6ccc88919cc0b | ambiguous_unresolved | fMRI-FC | 6efb2475137e21ce5e04d1f2becdf22e974672a1fef3082b57f6ccc88919cc0b | [
{
"prior_label": "underpowered_small_positive",
"source_citation": "Marek et al. 2022 Nature",
"source_collection": "legacy_scientific",
"source_id": "cognition_fc_ukb_abcd",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "normativ... | For cognition association with FC descriptors in fMRI-FC, using UKB as discovery and ABCD as replication, test the claim with expected direction two_sided and adjust for age;sex;site when available. | 3767efb0bc926c60ec7734794cc836d1ff14879870a3cb4ca1ba8854e592519f | ncb-scientific-6efb2475137e21ce | ec60717557c4f96293f360658be981e60b0ad479debdac8a8b89cf402d8892df | ncb-sem-9a1ca31c71c1e012 | normative_fmri | [] |
[
"normative_fmri_001"
] | aligned_with_safety_augmentation | ncb-scientific-6f07b924f78e762d | scientific | ncb-claim-1e00529a89dced24 | {
"claim_id": "normative_fmri_001",
"covariates": [
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"phen_fluid_intelligence",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
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"group": null,
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"predictor": "age",
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"type": "assoc... | 6f07b924f78e762dbb04192421df62ac5dd24835b8e50993a3f5c2cdf333e66c | ready | fMRI-FC | 6f07b924f78e762dbb04192421df62ac5dd24835b8e50993a3f5c2cdf333e66c | [
{
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"source_citation": "llm_proposed",
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"source_id": "normative_fmri_001",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | In UKB_DISC, with replication in UKB_REP, is higher age associated with lower within-network default-mode connectivity (fc_fc_Default_Default_z), adjusting for sex and cognition? | 4d7298eb66c722a70b4bac20a8e6de4ad6974e0039e7e12c984a6983f924c52c | ncb-scientific-6f07b924f78e762d | 984c1b7aa9006c12806a12042a62e1cd3b282f6b95bd928ee3c6451cba48a885 | ncb-sem-1e00529a89dced24 | normative_fmri | [
"ncb21-task-9b937c1f9c6db20c"
] |
[
"normative_fmri_022"
] | aligned_with_safety_augmentation | ncb-scientific-704522685c487d81 | scientific | ncb-claim-0e2fdf4f1720ce06 | {
"claim_id": "normative_fmri_022",
"covariates": [
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"site"
],
"discovery_cohort": "HCP_DISC",
"estimand": {
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"group": null,
"outcome": "fc_fc_DorsAttn_DorsAttn_z",
"predictor": "phen_fluid_composite",
"region_set": null,
"type": "associ... | 704522685c487d817c358b1648972cf4b93110fe504eef340f7662e1605fe2af | ready | fMRI-FC | 704522685c487d817c358b1648972cf4b93110fe504eef340f7662e1605fe2af | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | In HCP_DISC, with replication in HCP_REP, is higher cognition associated with higher dorsal-attention within-network connectivity (fc_fc_DorsAttn_DorsAttn_z), adjusting for age and sex? | 33fa3ec69b7b9eec6fe26b51c3bd67b129d4b0aca9cf3fe70527eff9a3a3afcb | ncb-scientific-704522685c487d81 | 4fe70484eb4157a7d8527f5212b6cb1e6fcebbd11d246a369bf2d873aa1acf30 | ncb-sem-0e2fdf4f1720ce06 | normative_fmri | [
"ncb21-task-f55b77723d0aed8e"
] |
[
"psychosis_q042"
] | aligned | ncb-scientific-70527a90423a8295 | scientific | ncb-claim-b158ae5ae8b91424 | {
"claim_id": "psychosis_q042",
"covariates": [],
"discovery_cohort": "ChineseSZ_DISC",
"estimand": {
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"group": {
"case": "case",
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"var": "confirm_dx"
},
"outcome": "fc_mean_abs",
"predictor": "confirm_dx",
"region_set": nul... | 70527a90423a8295ebeae835b0a95e8bc634a4d1611424dbdb775935515a8516 | ready | fMRI-FC | 70527a90423a8295ebeae835b0a95e8bc634a4d1611424dbdb775935515a8516 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
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"source_id": "psychosis_q042",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | Across ChineseSZ_DISC and ChineseSZ_REP, is the SZ-versus-HC contrast for fc_mean_abs directionally consistent in unadjusted comparisons using dx only and no covariates? | 3bd2c904f22d8f13ea47294aeb24776aa3d0c4a4a11fdbc9204b0fe207c1fd9a | ncb-scientific-70527a90423a8295 | 1f25292a340946358354a285063b38888d03785da7aa7745ad6744533f28ed4e | ncb-sem-b158ae5ae8b91424 | psychosis | [
"ncb21-task-8139ac828c9a3687"
] |
[
"ad_aging_q004"
] | aligned_with_safety_augmentation | ncb-scientific-709359ed74346ba9 | scientific | ncb-claim-1aa85065ed1b8153 | {
"claim_id": "ad_aging_q004",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "smri_wholebrain",
"pr... | 709359ed74346ba923d40ae723b35bed48eb991fabd54079128ed09c43fa3f32 | ready | sMRI | 709359ed74346ba923d40ae723b35bed48eb991fabd54079128ed09c43fa3f32 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
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"source_id": "ad_aging_q004",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In ADNI_DISC, with ADNI_REP as a replication cohort, is Dementia associated with lower smri_wholebrain than CN, adjusting for age and sex? | 98db6d838abbfef60a3014ae8e5e2dbc8e8fdad24891976bc77609469aafe0d5 | ncb-scientific-709359ed74346ba9 | c5b64d814a398d2ea4d245546508c07d896549477db41ae2a97df760b309b3c0 | ncb-sem-1aa85065ed1b8153 | ad_aging | [
"ncb21-task-0e9b04ade45505c5"
] |
[
"ad_aging_q002"
] | aligned_with_safety_augmentation | ncb-scientific-717fef42ce5138d1 | scientific | ncb-claim-ed01d7c380e3f82b | {
"claim_id": "ad_aging_q002",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
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"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "smri_entorhinal",
"pr... | 717fef42ce5138d1ee23f9ee14df5c45344ff5b74b01f2ad8ff362756ce635db | ready | sMRI | 717fef42ce5138d1ee23f9ee14df5c45344ff5b74b01f2ad8ff362756ce635db | [
{
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In ADNI_DISC, with ADNI_REP as a replication cohort, is Dementia associated with lower smri_entorhinal than CN, adjusting for age and sex? | 6def621ca420a2e7ae20d887072457a2b620d0827a9972faf4eaa683c904baf9 | ncb-scientific-717fef42ce5138d1 | 6a2f1d3c8fabd65bf09e32a09eafd6e46b77f3b3c3a3a91783f80ea089128cb3 | ncb-sem-ed01d7c380e3f82b | ad_aging | [
"ncb21-task-5f1d8ac86e76906e"
] |
[
"adhd_q035"
] | aligned_with_safety_augmentation | ncb-scientific-721c4fa75e038ea4 | scientific | ncb-claim-d2a68399033368eb | {
"claim_id": "adhd_q035",
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"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
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"group": {
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"var": "confirm_dx"
},
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"predictor": "con... | 721c4fa75e038ea4bdb26ce48b91b63d0615507f3c7e11e3dd07f46967efa967 | ready | fMRI-FC | 721c4fa75e038ea4bdb26ce48b91b63d0615507f3c7e11e3dd07f46967efa967 | [
{
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ABCD_DISC and ABCD_REP separately, excluding missing dx, is ADHD status (dx=1.0 vs dx=0.0) associated with altered Control-Visual connectivity (fc_fc_Cont_Vis_z), with no additional covariates? | c4b2a6558b62d2bad18bd86b91ef2e94d8b31723993242852cbdb8c3dcf9f092 | ncb-scientific-721c4fa75e038ea4 | cfbb4ae53271cff2f6c6f7b98b15c13304aad2c4c5da00ae7c901f76cd99261f | ncb-sem-d2a68399033368eb | adhd | [
"ncb21-task-4119b3d43abfec30"
] |
[
"adhd_q005"
] | aligned_with_safety_augmentation | ncb-scientific-73e0f34188f4c613 | scientific | ncb-claim-13e398ea7f02ab11 | {
"claim_id": "adhd_q005",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
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"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_Default_z",
"predictor... | 73e0f34188f4c613bbaf75216cae99010b0947ca6e64f339d66544a75dcdd5d4 | ready | fMRI-FC | 73e0f34188f4c613bbaf75216cae99010b0947ca6e64f339d66544a75dcdd5d4 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q005",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ABCD_DISC, excluding missing dx, is ADHD status (dx=1.0 vs dx=0.0) associated with altered within-Default connectivity (fc_fc_Default_Default_z), with no additional covariates, and is the association observed in ABCD_REP? | 0aa3a5fe4a0d6337eea2c5c42d79239d490bd5e5086a52fbcb02e8d2953dd2f1 | ncb-scientific-73e0f34188f4c613 | e51da6e8884ee1613e91c288f090d3794c2010d5f7f3ea0bf3de2274362d254e | ncb-sem-13e398ea7f02ab11 | adhd | [
"ncb21-task-ea4e6d849b7d65c6"
] |
[
"psychosis_q032"
] | aligned_with_safety_augmentation | ncb-scientific-740708798029c58d | scientific | ncb-claim-a44d2718db4923a4 | {
"claim_id": "psychosis_q032",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "FBIRN_REP",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_between_network",
"predictor... | 740708798029c58d4d6385bc24deca50249908931c23e35c50e771c1555ef475 | ready | fMRI-FC | 740708798029c58d4d6385bc24deca50249908931c23e35c50e771c1555ef475 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In FBIRN_REP, do SZ and HC groups differ in fc_between_network in an unadjusted comparison using dx as the only predictor and no covariates? | 8f9a2fbc14b3e39be781174a8f91159fcfc5d1cad1857493c479e6357e749bdf | ncb-scientific-740708798029c58d | 31959abd78a43c0868a0f776d6c4ba9bba07a63949e8944d5467ad7280c6e77c | ncb-sem-a44d2718db4923a4 | psychosis | [
"ncb21-task-6ec6dfff264c160d"
] |
[
"ad_aging_q030"
] | aligned_with_safety_augmentation | ncb-scientific-75bd3855eddc86c8 | scientific | ncb-claim-e7f683ba9f4d54de | {
"claim_id": "ad_aging_q030",
"covariates": [
"sex",
"eTIV",
"site"
],
"discovery_cohort": "OASIS3_DISC",
"estimand": {
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"type": "association",
"unit": "scalar"... | 75bd3855eddc86c8164fd4b8c788b0d2ff249afef49acbd1c2597bcf3031ee46 | ready | sMRI | 75bd3855eddc86c8164fd4b8c788b0d2ff249afef49acbd1c2597bcf3031ee46 | [
{
"prior_label": "candidate_unknown",
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In OASIS3_DISC, among CN participants, is older age associated with lower smri_entorhinal, adjusting for sex? | 6f0907673bf01f1942bf4d9937753d8606b393fafc2e1dc7d976cc6d1ab181ec | ncb-scientific-75bd3855eddc86c8 | e259a2f505105f9436d1d175cb4fc14234be85dc14310bc91f6d757bb2b12716 | ncb-sem-e7f683ba9f4d54de | ad_aging | [
"ncb21-task-6d3364afde7ca34a"
] |
[
"ad_aging_q009",
"ad_aging_q011"
] | ambiguous_unresolved | ncb-scientific-7761a54a90d0f99d | scientific | ncb-claim-ed01d7c380e3f82b | {
"claim_id": "ad_aging_q009",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "smri_entorhinal",
"pr... | 7761a54a90d0f99d858c02400a8a9c8f3bd8d12c6bf72880e708940a1e95251c | ambiguous_unresolved | sMRI | 7761a54a90d0f99d858c02400a8a9c8f3bd8d12c6bf72880e708940a1e95251c | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In ADNI_DISC, with ADNI_REP as a replication cohort, is MCI associated with lower smri_entorhinal than CN, adjusting for age and sex? | 1d3b7776dbdd3bd2466c1cdffefff855447108e05aa2e7fec6c7ce6b542c3e01 | ncb-scientific-7761a54a90d0f99d | 6a2f1d3c8fabd65bf09e32a09eafd6e46b77f3b3c3a3a91783f80ea089128cb3 | ncb-sem-ed01d7c380e3f82b | ad_aging | [] |
[
"ad_aging_q046"
] | aligned_with_safety_augmentation | ncb-scientific-79182620041b5799 | scientific | ncb-claim-eb5dda014080c769 | {
"claim_id": "ad_aging_q046",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADNI_fMRI_REP",
"estimand": {
"direction": "negative",
"group": {
"case": "1.0",
"control": "0.0",
"var": "dx"
},
"outcome": "fc_fc_Default_Default_z",
"predictor": "dx... | 79182620041b57998eb9b3eb81cfba653f320fbe529ff0db654dd813626d0e36 | ready | fMRI-FC | 79182620041b57998eb9b3eb81cfba653f320fbe529ff0db654dd813626d0e36 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q046",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In ADNI_fMRI_REP, excluding participants with missing diagnosis code, is diagnosis code 1.0 associated with lower fc_fc_Default_Default_z than diagnosis code 0.0, adjusting for age and sex? | 61757c25b7c125d383d1baa9fdfa79fd6b92139fdbbf27541766ed623ccc8900 | ncb-scientific-79182620041b5799 | aefeb590084f636e3cdc8b4b54ca7e32c7b6ae8b45ccd2497b344758ad3a0091 | ncb-sem-eb5dda014080c769 | ad_aging | [
"ncb21-task-0a3153ea01de1eb9"
] |
[
"ad_aging_q005"
] | aligned_with_safety_augmentation | ncb-scientific-792968836011440a | scientific | ncb-claim-5ec25f86a95995a3 | {
"claim_id": "ad_aging_q005",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "smri_midtemp",
"predi... | 792968836011440afaa2e9f79b4c506d6dbabdb10a3878b0c91aa60f7e6ca696 | ready | sMRI | 792968836011440afaa2e9f79b4c506d6dbabdb10a3878b0c91aa60f7e6ca696 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q005",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In ADNI_DISC, with ADNI_REP as a replication cohort, is Dementia associated with lower smri_midtemp than CN, adjusting for age and sex? | 288133858c3adbbc647a71463b288b7a5482b4d8987b04546936f7b45de44d12 | ncb-scientific-792968836011440a | 932639475f875c136afd0628e9ba6621e6a676ad5335136185f9152ce0a5e9ff | ncb-sem-5ec25f86a95995a3 | ad_aging | [
"ncb21-task-c960d04f2a3a502e"
] |
[
"asd_q015"
] | aligned_with_safety_augmentation | ncb-scientific-7a87a86398becf44 | scientific | ncb-claim-74f061d5c7506b17 | {
"claim_id": "asd_q015",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
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"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Cont_SalVentAttn",
"predictor... | 7a87a86398becf44806656c7b8437f675f371fd6f2644ac257e562ca90b86a6a | ready | fMRI-FC | 7a87a86398becf44806656c7b8437f675f371fd6f2644ac257e562ca90b86a6a | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "asd"
}
] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_Cont_SalVentAttn differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 33e89aec59a3bf8a0b69e34d581e8d06c4a3196d0dac05b9939e1d0f86d00201 | ncb-scientific-7a87a86398becf44 | 841436aa29efcdba7c2bd0d7368f0e059f0e3344f8fb82cfbbbd1cb375d12d2a | ncb-sem-74f061d5c7506b17 | asd | [
"ncb21-task-cecdff58b47a089c"
] |
[
"pubmed_34264028_34264028-1"
] | ambiguous_unresolved | ncb-scientific-7ab10eca62cc6fc7 | scientific | ncb-claim-b40ced62c1fc7138 | {
"claim_id": "pubmed_34264028_34264028-1",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_",
"predicto... | 7ab10eca62cc6fc7aac3fc6c5d935bbe58e90be3a4850b9956b9d4bb8758e45f | ambiguous_unresolved | fMRI-FC | 7ab10eca62cc6fc7aac3fc6c5d935bbe58e90be3a4850b9956b9d4bb8758e45f | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:34264028; DOI:10.1002/aur.2579",
"source_collection": "stage2_current",
"source_id": "pubmed_34264028_34264028-1",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_resu... | For literature-grounded autism spectrum disorder group versus typical control group in middle-aged adults effect on anxiety-network functional connectivity, especially bilateral insula connections in fMRI-FC, using ABIDE2 as discovery and ABIDE2 as replication, test the claim with expected direction negative and adjust... | a6f1e311994e56559225f835cb321d3bc39837e571b091ab884fbf4cd68d866b | ncb-scientific-7ab10eca62cc6fc7 | f146e9c4c71dcfc36b1dd361d841743346ba61e84b4f19d2f93e4a1ddbf7aa72 | ncb-sem-b40ced62c1fc7138 | asd | [] |
[
"normative_fmri_019"
] | aligned_with_safety_augmentation | ncb-scientific-7be5e0886589fedd | scientific | ncb-claim-dfc290f3eccf477b | {
"claim_id": "normative_fmri_019",
"covariates": [
"age",
"phen_fluid_composite",
"site"
],
"discovery_cohort": "HCP_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "F",
"control": "M",
"var": "sex"
},
"outcome": "fc_fc_Limbic_Limbic_z",
"pr... | 7be5e0886589fedd176d8f8a4351a86533239f8929f35db4651ba564298bca62 | ready | fMRI-FC | 7be5e0886589fedd176d8f8a4351a86533239f8929f35db4651ba564298bca62 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_019",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | In HCP_DISC, with replication in HCP_REP, do females and males differ in limbic within-network connectivity (fc_fc_Limbic_Limbic_z), adjusting for age and cognition? | 530e5c21bfc8d9fae437f44614c53c11ecbb23847a4503ce32eeea8747378e71 | ncb-scientific-7be5e0886589fedd | 59b5fc6addd3e1e598a2e191a53f7349a2d8c9ea524c43da926a8f0f8d09ce57 | ncb-sem-dfc290f3eccf477b | normative_fmri | [
"ncb21-task-c876031a0856d8ed"
] |
[
"adhd_q023"
] | repairable_contract | ncb-scientific-7c005de1c12b32a7 | scientific | ncb-claim-1a9a8b1891c46711 | {
"claim_id": "adhd_q023",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "positive",
"group": {
"case": "3",
"control": "0",
"var": "dx"
},
"outcome": "fc_fc_SalVentAttn_SomMot_z",
"predictor": "dx",
... | 22e9dad3dc77b808e6883b1259492c9cf8f1bb52d57623e5d3afd28fd4ecd81a | ready | fMRI-FC | 7c005de1c12b32a7b7a45e61565deb980582119a1b92e7e4f0083c9e8537a1d0 | [
{
"prior_label": "candidate_unknown",
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"source_id": "adhd_q023",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ADHD200_DISC, does ADHD-hyperactive/impulsive type (dx=3) versus control (dx=0) show higher Salience/VentralAttention-Somatomotor connectivity (fc_fc_SalVentAttn_SomMot_z), with no additional covariates, and is the same direction present in ADHD200_REP? | af8cd98c7b6f26a204bc6fac60ce7fdcd95301834414de7f8837e25b758e1b22 | ncb-scientific-7c005de1c12b32a7 | afd979c1a5acc5968516aa285022d6e3eea5fcd67466bcc45b0dd081980a11db | ncb-sem-1a9a8b1891c46711 | adhd | [
"ncb21-task-4909693e2ac000b8"
] |
[
"normative_fmri_016"
] | aligned_with_safety_augmentation | ncb-scientific-7c173adc5485d7ce | scientific | ncb-claim-f6cad41f7540de84 | {
"claim_id": "normative_fmri_016",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "HCP_DISC",
"estimand": {
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"group": null,
"outcome": "fc_fc_Cont_Cont_z",
"predictor": "phen_fluid_composite",
"region_set": null,
"type": "association",
... | 7c173adc5485d7ce2f944c400dd42b6053d003a6972c57de7cbc05bac07157ce | ready | fMRI-FC | 7c173adc5485d7ce2f944c400dd42b6053d003a6972c57de7cbc05bac07157ce | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | In HCP_DISC, with replication in HCP_REP, is higher cognition associated with higher control-network within-network connectivity (fc_fc_Cont_Cont_z), adjusting for age and sex? | 1f7bc67d179b9355b46c0a6d219801071d9b65cbb77303c00ba2f5be300fd9ba | ncb-scientific-7c173adc5485d7ce | 540d98230b1a41f0cbf3a89cf455d7b2e7d7f5758a5b8f3eabe614de97214019 | ncb-sem-f6cad41f7540de84 | normative_fmri | [
"ncb21-task-009b694780a8795f"
] |
[
"pubmed_35388950_pmid35388950_ad_hav_volumes"
] | aligned | ncb-scientific-7c66a10417fcec23 | scientific | ncb-claim-9725e2d6c7a99178 | {
"claim_id": "pubmed_35388950_pmid35388950_ad_hav_volumes",
"covariates": [
"age",
"eTIV",
"sex"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "smri_"... | 7c66a10417fcec235ed58bc5f85855df3d432c60693fa1bf4758147bfb882606 | ready | sMRI | 7c66a10417fcec235ed58bc5f85855df3d432c60693fa1bf4758147bfb882606 | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:35388950; DOI:10.1002/hbm.25850",
"source_collection": "stage2_current",
"source_id": "pubmed_35388950_pmid35388950_ad_hav_volumes",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all-gpt55/combi... | For literature-grounded Alzheimer disease versus normal aging control status effect on AD-related structural atrophy pattern in sMRI volumetric MRI, using ADNI as discovery and OASIS3 as replication, test the claim with expected direction two_sided and adjust for age;eTIV;sex when available. | 1077a6329450b1493818e951eefaf9a1918c00ec0d8763461e263fa9833b1f23 | ncb-scientific-7c66a10417fcec23 | 8eba6d86a6275d37758772abe9d281aac14b3ecc57cff96ed9267a4a2247a561 | ncb-sem-9725e2d6c7a99178 | ad_aging | [
"ncb21-task-a1a56104fcdaf492"
] |
[
"sz_brainwide_fc_4cohort"
] | aligned_with_safety_augmentation | ncb-scientific-7c8fd02a769bcd9a | scientific | ncb-claim-9086d74191ad7d9b | {
"claim_id": "sz_brainwide_fc_4cohort",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ChineseSZ_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_",
"predictor"... | 7c8fd02a769bcd9a50c58371dc350ccdbc8a4ee13f120f120f0bbcd3b15a000f | ready | fMRI-FC | 7c8fd02a769bcd9a50c58371dc350ccdbc8a4ee13f120f120f0bbcd3b15a000f | [
{
"prior_label": "candidate_unknown",
"source_citation": "Pettersson-Yeo et al. 2011 Neuroscience and Biobehavioral Reviews",
"source_collection": "legacy_scientific",
"source_id": "sz_brainwide_fc_4cohort",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv... | For SZ brain-wide FNC dysconnectivity pattern (100-IC edge-level) in fMRI-FC, using ChineseSZ as discovery and BSNIP2;JH;BSNIP1 as replication, test the claim with expected direction two_sided distributed pattern and adjust for age;sex (no motion available). | 6e926668ee2102fe15bfb78e98e843358b9bd05425dc94eb7cb40b8460de631c | ncb-scientific-7c8fd02a769bcd9a | f195a54175bfefe1dc78325623429d9ed0af8a9562b49d2cc5266443582b657c | ncb-sem-9086d74191ad7d9b | psychosis | [
"ncb21-task-b23feae2580b6639"
] |
[
"psychosis_q001"
] | aligned | ncb-scientific-7cb3fe4a5738fae5 | scientific | ncb-claim-f6629357fa60f0d6 | {
"claim_id": "psychosis_q001",
"covariates": [],
"discovery_cohort": "BSNIP2_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_mean_positive",
"predictor": "confirm_dx",
"region_set": nu... | 7cb3fe4a5738fae59ad565ce7ad320774954e407c9d8edcbc6f05c4bb1287017 | ready | fMRI-FC | 7cb3fe4a5738fae59ad565ce7ad320774954e407c9d8edcbc6f05c4bb1287017 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q001",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In BSNIP2_DISC, is schizophrenia diagnosis (SZ vs HC) associated with lower fc_mean_positive in an unadjusted group comparison with dx as the only predictor and no covariates? | e6e102f113b269f763eab83986c910eb619c569bf94e26fb7d502e643c9f9c56 | ncb-scientific-7cb3fe4a5738fae5 | 7fedec7ed8e4dc3d05cd7dadb1c86170d525ed083ff3d48f470d3581a11a3a16 | ncb-sem-f6629357fa60f0d6 | psychosis | [
"ncb21-task-e64e38fc45ab30a8"
] |
[
"ad_aging_q027"
] | aligned_with_safety_augmentation | ncb-scientific-7f4258667f94f44d | scientific | ncb-claim-f3e4911f433998d2 | {
"claim_id": "ad_aging_q027",
"covariates": [
"sex",
"eTIV",
"site"
],
"discovery_cohort": "OASIS3_DISC",
"estimand": {
"direction": "negative",
"group": null,
"outcome": "smri_hippocampus",
"predictor": "age",
"region_set": null,
"type": "association",
"unit": "scalar... | 7f4258667f94f44d5e73e949aab05c8374dbe1ac010e146956307f30d3201ba2 | ready | sMRI | 7f4258667f94f44d5e73e949aab05c8374dbe1ac010e146956307f30d3201ba2 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q027",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In OASIS3_DISC, among CN participants, is older age associated with lower smri_hippocampus, adjusting for sex? | e08530a1ce66821e0185b99544e99b7af362c6c7ec77a4a3089fb24d52bb2103 | ncb-scientific-7f4258667f94f44d | 366fb3b38fdadfe5baaa3273d0ba2c983d3068cfecb137d67dc4668c1c965265 | ncb-sem-f3e4911f433998d2 | ad_aging | [
"ncb21-task-c56dc7c61f203feb"
] |
[
"normative_fmri_012"
] | aligned_with_safety_augmentation | ncb-scientific-7fc6845e80fabb9d | scientific | ncb-claim-cea69597c870b6b8 | {
"claim_id": "normative_fmri_012",
"covariates": [
"age",
"phen_fluid_intelligence",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "F",
"control": "M",
"var": "sex"
},
"outcome": "fc_fc_Cont_Cont_z",
"pre... | 7fc6845e80fabb9db8918b62e791d797a9227a8aa7499272e4c4a47064ebeab2 | ready | fMRI-FC | 7fc6845e80fabb9db8918b62e791d797a9227a8aa7499272e4c4a47064ebeab2 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_012",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | In UKB_DISC, with replication in UKB_REP, do females and males differ in control-network within-network connectivity (fc_fc_Cont_Cont_z), adjusting for age and cognition? | d797a96575579058b8b096f02c8b1246f793585d4f7f66d8eb9d8b430f4bcb7b | ncb-scientific-7fc6845e80fabb9d | 6acd0e917b7a5125547dc4ec1446930f03f7f150670a3b8ccfc1ffac2c40019d | ncb-sem-cea69597c870b6b8 | normative_fmri | [
"ncb21-task-713ca9b6955d7a40"
] |
[
"asd_q022"
] | aligned_with_safety_augmentation | ncb-scientific-7fe9235c8d5841b2 | scientific | ncb-claim-1bcf71f03d32a2b8 | {
"claim_id": "asd_q022",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_SomMot",
"predictor":... | 7fe9235c8d5841b21b4e02f5f1ea3da19d265b3dae41e4689eb549064708d519 | ready | fMRI-FC | 7fe9235c8d5841b21b4e02f5f1ea3da19d265b3dae41e4689eb549064708d519 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q022",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "asd"
}
] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_Default_SomMot differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 8006929afd02e83488b6b126559c6871c27e67f92e44168157621b5323681d50 | ncb-scientific-7fe9235c8d5841b2 | b3c6ea4e5788f95c4b4d4933521dd03c467139c479d75d0309f068ff344958e8 | ncb-sem-1bcf71f03d32a2b8 | asd | [
"ncb21-task-52fb8c2bbe143797"
] |
[
"psychosis_q020"
] | aligned_with_safety_augmentation | ncb-scientific-8014ff72ff0a06a0 | scientific | ncb-claim-a44d2718db4923a4 | {
"claim_id": "psychosis_q020",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ChineseSZ_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_between_network",
"pred... | 8014ff72ff0a06a0aa8de224052dec1b0bd5ed72ab1609e53885372944ee3b2a | ready | fMRI-FC | 8014ff72ff0a06a0aa8de224052dec1b0bd5ed72ab1609e53885372944ee3b2a | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q020",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In ChineseSZ_DISC, do SZ and HC participants differ in fc_between_network in an unadjusted dx-only comparison with no covariates? | 1c93b1b79453920d69cb5870800a394a6a6714aa4623666b1013c63ce7347635 | ncb-scientific-8014ff72ff0a06a0 | fb5490c0f9830bab67ec304a1909322e1353331b5565a5c9acb64000b9de418d | ncb-sem-a44d2718db4923a4 | psychosis | [
"ncb21-task-f1b4943c48b52530"
] |
[
"psychosis_q040"
] | aligned | ncb-scientific-80318de11aee33ca | scientific | ncb-claim-2ccad72c3141229c | {
"claim_id": "psychosis_q040",
"covariates": [],
"discovery_cohort": "COBRE_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_between_network",
"predictor": "confirm_dx",
"region_set": ... | 80318de11aee33cafcafc23b40e6d185a412151c5603277794147b1d572df23d | ready | fMRI-FC | 80318de11aee33cafcafc23b40e6d185a412151c5603277794147b1d572df23d | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q040",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | Across COBRE_DISC and COBRE_REP, is the SZ-versus-HC contrast for fc_between_network directionally consistent in unadjusted dx-only group comparisons with no covariates? | 37aff8a86a2c83db09116686490bf107792c3b5d5db511ad402b3faf268d01d8 | ncb-scientific-80318de11aee33ca | 86ac435effa92a0f64b37975853f1406de1ee6fe4d022ede8113f40c84ef8e63 | ncb-sem-2ccad72c3141229c | psychosis | [
"ncb21-task-a9c79ca521184619"
] |
[
"asd_fc_mean_abs_abide1_site_split"
] | aligned | ncb-scientific-815d879b9076393c | scientific | ncb-claim-893ac2c9b485762f | {
"claim_id": "asd_fc_mean_abs_abide1_site_split",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE1_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_mean_abs",
... | 815d879b9076393c67c02ef257b22635e8409b74da079f46cc05a619c8020db7 | ready | fMRI-FC | 815d879b9076393c67c02ef257b22635e8409b74da079f46cc05a619c8020db7 | [
{
"prior_label": "fragile",
"source_citation": "Haar et al. 2016 Biological Psychiatry",
"source_collection": "legacy_scientific",
"source_id": "asd_fc_mean_abs_abide1_site_split",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "as... | For ASD case-control mean absolute FC ABIDE1 real site split in fMRI-FC, using ABIDE1_DISC_sites as discovery and ABIDE1_REP_sites as replication, test the claim with expected direction two_sided and adjust for age;sex when available. | caeaf78486a60e9fc6c74a92eb0070452d426a81bc5f8582de22e325342ebded | ncb-scientific-815d879b9076393c | 2e4fc3f1a566454a86934ca188b1e09881161f3d8dc9051d556750ba3aef55ea | ncb-sem-893ac2c9b485762f | asd | [
"ncb21-task-185c5e67f296f418"
] |
[
"pubmed_32726311_pmid32726311_dg_aging"
] | aligned | ncb-scientific-81d14342bc5a3c18 | scientific | ncb-claim-0a3ffc7265ab6ed4 | {
"claim_id": "pubmed_32726311_pmid32726311_dg_aging",
"covariates": [
"sex",
"eTIV"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "negative",
"group": null,
"outcome": "smri_hippocampus",
"predictor": "age",
"region_set": null,
"type": "association",
"unit... | 81d14342bc5a3c187ebbc5c08c3f60f065445493303b049bc443caa0bb16a644 | ready | sMRI | 81d14342bc5a3c187ebbc5c08c3f60f065445493303b049bc443caa0bb16a644 | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:32726311; DOI:10.1371/journal.pone.0234255",
"source_collection": "stage2_current",
"source_id": "pubmed_32726311_pmid32726311_dg_aging",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all-gpt55/... | For literature-grounded Older age among cognitively normal adults effect on Dentate gyrus age-related MRI vulnerability / hippocampal integrity in combined functional-structural MRI in the primary study; structural MRI in secondary analyses, using ADNI as discovery and OASIS3 as replication, test the claim with expecte... | cf818ca98b34d5da6bf8f0f849b706221eb0170af6427e2f5d2117d60937c6e9 | ncb-scientific-81d14342bc5a3c18 | 48fe341ebfe1749a66fa45d30b851fb60d4cfa44272f1de27e7ba3c8f0c6d8cc | ncb-sem-0a3ffc7265ab6ed4 | ad_aging | [
"ncb21-task-2a0c89906d3bf1f2"
] |
[
"psychosis_q045"
] | aligned | ncb-scientific-81e24d3b130902a4 | scientific | ncb-claim-f6629357fa60f0d6 | {
"claim_id": "psychosis_q045",
"covariates": [],
"discovery_cohort": "FBIRN_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_mean_positive",
"predictor": "confirm_dx",
"region_set": nul... | 81e24d3b130902a46cd52114a0894c5d3052a400c072cda182917e5eb6728851 | ready | fMRI-FC | 81e24d3b130902a46cd52114a0894c5d3052a400c072cda182917e5eb6728851 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q045",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | Across FBIRN_DISC and FBIRN_REP, is the SZ-versus-HC contrast for fc_mean_positive directionally consistent with lower values in SZ in unadjusted dx-only comparisons with no covariates? | 0a245ad296efb92fea22803694ef8dbf1032ab3add438e00ed100399d1c39f51 | ncb-scientific-81e24d3b130902a4 | fe7ca606cc15152226741e3c17bc7df83318a04ec3ecb53c6b3c26fc091a2ad7 | ncb-sem-f6629357fa60f0d6 | psychosis | [
"ncb21-task-1df9ebb9fd1e2432"
] |
[
"psychosis_q010"
] | aligned | ncb-scientific-822a9e3fd7a9cc40 | scientific | ncb-claim-b158ae5ae8b91424 | {
"claim_id": "psychosis_q010",
"covariates": [],
"discovery_cohort": "COBRE_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_mean_abs",
"predictor": "confirm_dx",
"region_set": null,
... | 822a9e3fd7a9cc40dd56cec27d9df1f4b981c6e08141b1a8a2264fd39544ccfa | ready | fMRI-FC | 822a9e3fd7a9cc40dd56cec27d9df1f4b981c6e08141b1a8a2264fd39544ccfa | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q010",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In COBRE_DISC, do SZ participants differ from HC participants in fc_mean_abs in an unadjusted dx-only comparison with no covariates? | 12a8c450b03a4679a3e072cde7a58e39e04305d3c757da795decf192427eee60 | ncb-scientific-822a9e3fd7a9cc40 | 43db2903fcd2c7cf75d1afce572d56970f4a5132c8798cdbd84893fa8c6f9c97 | ncb-sem-b158ae5ae8b91424 | psychosis | [
"ncb21-task-02b88fc3865fef3e"
] |
[
"pubmed_1431963_pmid1431963_mtl_linear_ad_vs_controls"
] | aligned | ncb-scientific-8317e3afc8d4d4c2 | scientific | ncb-claim-544499103b3cf872 | {
"claim_id": "pubmed_1431963_pmid1431963_mtl_linear_ad_vs_controls",
"covariates": [
"age",
"eTIV",
"sex"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome"... | 8317e3afc8d4d4c2055b23ae14d59e3a947e1930aa8a0be481f0391bdb109969 | ready | sMRI | 8317e3afc8d4d4c2055b23ae14d59e3a947e1930aa8a0be481f0391bdb109969 | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:1431963; DOI:10.1136/jnnp.55.10.967",
"source_collection": "stage2_current",
"source_id": "pubmed_1431963_pmid1431963_mtl_linear_ad_vs_controls",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-al... | For literature-grounded probable Alzheimer's disease versus age-matched controls effect on medial temporal lobe linear measurements in sMRI, using ADNI as discovery and OASIS3 as replication, test the claim with expected direction two_sided and adjust for age;eTIV;sex when available. | 41619b7e7ed4b0c9f0e1bcd7b57b8fad4e5ae6eb88ea00d01e2c01be0070642f | ncb-scientific-8317e3afc8d4d4c2 | 9b1140527275dc94839a64072626182fe42daaf1174bec8c9e2f746f618b0400 | ncb-sem-544499103b3cf872 | ad_aging | [
"ncb21-task-b297e57cca14b456"
] |
[
"psychosis_q009"
] | aligned_with_safety_augmentation | ncb-scientific-8366c91b96faf9a6 | scientific | ncb-claim-0de9c0c5b4d3defc | {
"claim_id": "psychosis_q009",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "COBRE_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_mean_positive",
"predictor":... | 8366c91b96faf9a6c9557e9120c312676b6be08466de64a2ea5ecb46f08595dc | ready | fMRI-FC | 8366c91b96faf9a6c9557e9120c312676b6be08466de64a2ea5ecb46f08595dc | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q009",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In COBRE_DISC, is SZ associated with lower fc_mean_positive than HC in an unadjusted group comparison using dx as the only predictor and no covariates? | fb114309705db18cb116e2bf641d0c717c3d691cc81c69493b440c7e7a4aac13 | ncb-scientific-8366c91b96faf9a6 | a62515dacadc7b2455a7b317e8cb54a4418d04c99f0085b022df9d3319e2eb95 | ncb-sem-0de9c0c5b4d3defc | psychosis | [
"ncb21-task-d67cf80918a225ab"
] |
[
"asd_q004"
] | aligned_with_safety_augmentation | ncb-scientific-83e09f86b797842d | scientific | ncb-claim-a44d2718db4923a4 | {
"claim_id": "asd_q004",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE1_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_between_network",
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{
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] | In ABIDE1_DISC, with replication assessed in ABIDE1_REP, does fc_between_network differ between ASD and HC participants using dx as the predictor and no additional covariates? | 6889d8205eafeb4a34e35b325f7ab54cbacb5b665452fc496c73ab3d1e5f961d | ncb-scientific-83e09f86b797842d | 2ad81c0348521484118011e71ff2eaacf9c6b1490835b8f61fefe5f9ed87518b | ncb-sem-a44d2718db4923a4 | asd | [
"ncb21-task-58c1d5297a1db063"
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[
"asd_q028"
] | aligned_with_safety_augmentation | ncb-scientific-83e8c22eb0f4831a | scientific | ncb-claim-3d9da92d0c9e16b2 | {
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{
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] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_DorsAttn_Vis differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 0bc71a22cf8f7ec2bcf4ebf922aae80b71cd6a4ff053429780628fbac2d1d82b | ncb-scientific-83e8c22eb0f4831a | 93ccb767b027dfaa402523d74235849cb5cf06b144260572cb441747719f7ceb | ncb-sem-3d9da92d0c9e16b2 | asd | [
"ncb21-task-22b6347de5b895fd"
] |
[
"normative_fmri_013"
] | aligned_with_safety_augmentation | ncb-scientific-8482b5c202e5e323 | scientific | ncb-claim-b36b546a147ac8c8 | {
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"type": "associa... | 8482b5c202e5e3235de8c6063dda4b78550e3f9e00df27d431e2d1f0d720b4aa | ready | fMRI-FC | 8482b5c202e5e3235de8c6063dda4b78550e3f9e00df27d431e2d1f0d720b4aa | [
{
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"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | In HCP_DISC, with replication in HCP_REP, is higher age associated with altered default-mode within-network connectivity (fc_fc_Default_Default_z), adjusting for sex and cognition? | 1d30ca98b79841f53b77865c3dda5071edfd5285e121fc3805f2ee68ca7521b3 | ncb-scientific-8482b5c202e5e323 | c66e07626429ff9c193acb0de6f210b628f29af3dc8c55350b1c5649e95cd55b | ncb-sem-b36b546a147ac8c8 | normative_fmri | [
"ncb21-task-7e0c5c0ce3670607"
] |
[
"normative_fmri_040"
] | aligned_with_safety_augmentation | ncb-scientific-86a81a5f3a28d98c | scientific | ncb-claim-c2bd99d6219b3e6e | {
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"discovery_cohort": "ABCD_DISC",
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"type": "associat... | 86a81a5f3a28d98c10f2fd88774a049275a6dd3a56fa4e236ed763a643cae1c7 | ready | fMRI-FC | 86a81a5f3a28d98c10f2fd88774a049275a6dd3a56fa4e236ed763a643cae1c7 | [
{
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | Among ABCD participants with dx=0.0, in ABCD_DISC with replication in ABCD_REP, is higher age associated with altered limbic within-network connectivity (fc_fc_Limbic_Limbic_z), adjusting for sex and cognition? | 5aa37301cb74ff753caaa31679db6a52f02d81730fda044d462d42b8f9d71f2b | ncb-scientific-86a81a5f3a28d98c | c19c60b2d92e0cf484c84704ca8d74476e7ad50eb5e59e1b12efc9c391f1e9c1 | ncb-sem-c2bd99d6219b3e6e | normative_fmri | [
"ncb21-task-4cfe9f0fdd4439d5"
] |
[
"psychosis_q003"
] | aligned_with_safety_augmentation | ncb-scientific-872c426870a43fc0 | scientific | ncb-claim-2166e66544e56e96 | {
"claim_id": "psychosis_q003",
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],
"discovery_cohort": "BSNIP2_DISC",
"estimand": {
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},
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"predictor... | 872c426870a43fc09bee7deefd9487ffedf554184b618cfa1548e9f8d3be8d34 | ready | fMRI-FC | 872c426870a43fc09bee7deefd9487ffedf554184b618cfa1548e9f8d3be8d34 | [
{
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In BSNIP2_DISC, is SZ associated with lower fc_within_network than HC in an unadjusted comparison with dx as the only predictor and no covariates? | af1e3ea30c2d14dca25b864e581917b849d1fce778a0ae1bb2311ff513f67c9e | ncb-scientific-872c426870a43fc0 | fe62e3ac6d28beb064c5546f2587c5a19f801cdd2d676bd8f8bb68fb9a52a192 | ncb-sem-2166e66544e56e96 | psychosis | [
"ncb21-task-a05795cc3d5cda20"
] |
[
"pubmed_30833582_pmid30833582_asd_stepwise_connectivity"
] | aligned | ncb-scientific-88422a822641e7cd | scientific | ncb-claim-b6e178b76bfe939a | {
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],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
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},
"outc... | 88422a822641e7cdcba6f457a4fa41387a32f9f3a60e08260ef9b6a18e716ada | ready | fMRI-FC | 88422a822641e7cdcba6f457a4fa41387a32f9f3a60e08260ef9b6a18e716ada | [
{
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"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-g... | For literature-grounded autism diagnosis versus typically developing controls effect on stepwise sensory-to-transmodal functional connectivity in task-free fMRI functional connectivity, using ABIDE2 as discovery and ABIDE2 as replication, test the claim with expected direction two_sided and adjust for age;sex;site when... | 63cd65b8854b8da56cfc9659d38234046563e6896892bfc4b961d76ed31802ac | ncb-scientific-88422a822641e7cd | a3a21ca7fd85dfc675679004d6b96975942453106ddf192a789454f88cec1c98 | ncb-sem-b6e178b76bfe939a | asd | [
"ncb21-task-ef11da7859dbdd5a"
] |
[
"adhd_q008"
] | aligned_with_safety_augmentation | ncb-scientific-8875a7bf33df9519 | scientific | ncb-claim-02e98abc510ab3f0 | {
"claim_id": "adhd_q008",
"covariates": [
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"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
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"group": {
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},
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"predict... | 8875a7bf33df951977e26ecd4ecf5885a3a6e08b889d220be4400f20649c8706 | ready | fMRI-FC | 8875a7bf33df951977e26ecd4ecf5885a3a6e08b889d220be4400f20649c8706 | [
{
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"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
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}
] | In ABCD_DISC, excluding missing dx, is ADHD status (dx=1.0 vs dx=0.0) associated with higher Salience/VentralAttention-Somatomotor connectivity (fc_fc_SalVentAttn_SomMot_z), with no additional covariates, and is the same direction seen in ABCD_REP? | 042de82b6e180575d97e5abc72a24dcbb9d282effef3e184634dd3d8f6251552 | ncb-scientific-8875a7bf33df9519 | 7e6d38439f6ee87030614990e069263200ba1b75ef2ffc9fa29f6ae8356d6e15 | ncb-sem-02e98abc510ab3f0 | adhd | [
"ncb21-task-084549e934cf6e3a"
] |
[
"normative_fmri_042"
] | ambiguous_unresolved | ncb-scientific-89c7369d95a29475 | scientific | ncb-claim-e945cecc98941bef | {
"claim_id": "normative_fmri_042",
"covariates": [
"sex",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
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"region_set": null,
"type": "association",
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... | 89c7369d95a294751cf5c375140d9d130dba267d6c01ae06bb839c019ab703a8 | ambiguous_unresolved | fMRI-FC | 89c7369d95a294751cf5c375140d9d130dba267d6c01ae06bb839c019ab703a8 | [
{
"prior_label": "candidate_unknown",
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | Across UKB_DISC and HCP_Aging_DISC, with replication in UKB_REP and HCP_Aging_REP, is higher age consistently associated with higher default-mode to dorsal-attention connectivity (fc_fc_Default_DorsAttn_z), adjusting for sex and cognition within each cohort? | 2cb2c4609cc1f908d14334e69dcc671acc108c0360972f04661b88c75498e664 | ncb-scientific-89c7369d95a29475 | 3d2c833ac496a8ad6c972dc1b558d6cca2aad67609de6432103383adee852e06 | ncb-sem-e945cecc98941bef | normative_fmri | [] |
[
"ad_aging_q008"
] | ambiguous_unresolved | ncb-scientific-8c2247d3d87d1686 | scientific | ncb-claim-ea5b69566e8c504d | {
"claim_id": "ad_aging_q008",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
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"predictor": "beh_cdrsb",
"region_set": null,
"type": "association",
"... | 8c2247d3d87d168619a886b699239573b6b6131b255047cbbae00c1b2219eece | ambiguous_unresolved | sMRI | 8c2247d3d87d168619a886b699239573b6b6131b255047cbbae00c1b2219eece | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In ADNI_DISC, with ADNI_REP as a replication cohort, is increasing clinical impairment from CN to MCI to Dementia associated with progressively higher smri_ventricles, adjusting for age and sex? | a9ce1aed49618cefa8a0a9a3605a1f166df666ddaa4aacc56fd3e053ed006fb4 | ncb-scientific-8c2247d3d87d1686 | 708b1f2a563ec2be779dbd5f05a8af37660f517ee81ac612497f130c32504f12 | ncb-sem-ea5b69566e8c504d | ad_aging | [] |
[
"asd_q008"
] | aligned_with_safety_augmentation | ncb-scientific-8d7c71367a2043b9 | scientific | ncb-claim-a44d2718db4923a4 | {
"claim_id": "asd_q008",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE1_HOLDOUT",
"estimand": {
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"group": {
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"control": "control",
"var": "confirm_dx"
},
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"predictor"... | 8d7c71367a2043b90fd51104e7c42a5e0fbd4068a2810fc8c3cbff83c8af75e6 | ready | fMRI-FC | 8d7c71367a2043b90fd51104e7c42a5e0fbd4068a2810fc8c3cbff83c8af75e6 | [
{
"prior_label": "candidate_unknown",
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "asd"
}
] | In ABIDE1_HOLDOUT, does fc_between_network differ between ASD and HC participants using dx as the predictor and no additional covariates? | b29948934ba0a84db7bb402482c14d92902908ec3ef781d63f7e22cb7ec73fac | ncb-scientific-8d7c71367a2043b9 | 37bb2c7080e51844d479f9f7c868a2733e69e5715c9cd57c408cc19c7938e422 | ncb-sem-a44d2718db4923a4 | asd | [
"ncb21-task-4a89eea2ea597161"
] |
[
"adhd_q024"
] | non_executable | ncb-scientific-8d7fe2116b082179 | scientific | ncb-claim-e204539c7b009359 | {
"claim_id": "adhd_q024",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
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"group": {
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"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_Default_z",
"predic... | 8d7fe2116b0821799a9e992e61809bd3abcb212212e1521f1f163d3b6e9d3221 | non_executable | fMRI-FC | 8d7fe2116b0821799a9e992e61809bd3abcb212212e1521f1f163d3b6e9d3221 | [
{
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ADHD200_DISC, does ADHD-inattentive type (dx=2) differ from ADHD-combined type (dx=1) in within-Default connectivity (fc_fc_Default_Default_z), with no additional covariates, and is the subtype contrast directionally consistent in ADHD200_REP? | aeccce9285a5097f95ce57237ebffd48df0ed40033cdb79a7c17d240f5e5978e | ncb-scientific-8d7fe2116b082179 | 349494920ce88de4128b207b5a3c20cc7ad31ea24d5cf9afcf673f3753be289a | ncb-sem-e204539c7b009359 | adhd | [] |
[
"psychosis_q016"
] | aligned_with_safety_augmentation | ncb-scientific-9066c4a0d3bc2f9f | scientific | ncb-claim-a44d2718db4923a4 | {
"claim_id": "psychosis_q016",
"covariates": [
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"sex",
"site"
],
"discovery_cohort": "COBRE_REP",
"estimand": {
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"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_between_network",
"predictor... | 9066c4a0d3bc2f9f335adcc9e6fce3653c8c38198faedd03436f1aa34da54b25 | ready | fMRI-FC | 9066c4a0d3bc2f9f335adcc9e6fce3653c8c38198faedd03436f1aa34da54b25 | [
{
"prior_label": "candidate_unknown",
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"source_id": "psychosis_q016",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In COBRE_REP, do SZ and HC groups differ in fc_between_network in an unadjusted comparison using dx as the only predictor and no covariates? | 5b3efc83c2238eab3df9ed2b7c3e5db350519871fbc673eb52d4bdcd615604b3 | ncb-scientific-9066c4a0d3bc2f9f | b8816d7b8cba0591f711b2a1ef077b7ba86ef2516c8096b77eaf0c9a64bbc9e1 | ncb-sem-a44d2718db4923a4 | psychosis | [
"ncb21-task-c356c0495b8f5c1e"
] |
[
"adhd_q040"
] | aligned_with_safety_augmentation | ncb-scientific-909dd51daf957cf4 | scientific | ncb-claim-05af2046a1fc0188 | {
"claim_id": "adhd_q040",
"covariates": [
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"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
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"group": {
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},
"outcome": "fc_fc_SalVentAttn_SalVentAttn_z",
... | 909dd51daf957cf4b20c9b9653fa6fd59e0a164cd218cfc872a8413563b73c59 | ready | fMRI-FC | 909dd51daf957cf4b20c9b9653fa6fd59e0a164cd218cfc872a8413563b73c59 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
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"source_id": "adhd_q040",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ADHD200_DISC and ADHD200_REP separately, is any ADHD diagnosis (dx in {1,2,3}) versus control (dx=0) associated with altered within-Salience/VentralAttention connectivity (fc_fc_SalVentAttn_SalVentAttn_z), with no additional covariates? | 30f9e44b2da47ffe1a7d08cf76441f598f9536fad52dabc91e41aedea32a9cd6 | ncb-scientific-909dd51daf957cf4 | 193ffb15e90e5254a64ed14d36ad3b2279d6e1e5a3aa8f85e29d64a39e22ad99 | ncb-sem-05af2046a1fc0188 | adhd | [
"ncb21-task-76a0158c903db264"
] |
[
"adhd_q046"
] | aligned | ncb-scientific-91575e683551f750 | scientific | ncb-claim-e5f15bfbf25f78f4 | {
"claim_id": "adhd_q046",
"covariates": [],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
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"group": {
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"control": "control",
"var": "confirm_dx"
},
"outcome": [
"fc_fc_Cont_Default_z",
"fc_fc_Cont_Default"
],
"pre... | 91575e683551f75081c4f506c9039447b9776b05e7c95ff1bf81a2323f0c51b9 | ready | fMRI-FC | 91575e683551f75081c4f506c9039447b9776b05e7c95ff1bf81a2323f0c51b9 | [
{
"prior_label": "candidate_unknown",
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"source_id": "adhd_q046",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ADHD200_DISC, does any ADHD diagnosis (dx in {1,2,3}) versus control (dx=0) relate more strongly to z-transformed Control-Default connectivity (fc_fc_Cont_Default_z) than to the corresponding untransformed measure (fc_fc_Cont_Default), using no additional covariates, and is the pattern checked in ADHD200_REP? | 5e68e8432ce7444392ec81f9d01c5b1f2d73c5553440f48dd91e84d651415103 | ncb-scientific-91575e683551f750 | 6d2541ee6dd8bf4afa27a8e154b7ab93c2e6c9948532754a5f049da9244adaa3 | ncb-sem-e5f15bfbf25f78f4 | adhd | [
"ncb21-task-0b3199bf9e229ded"
] |
[
"psychosis_q024"
] | aligned_with_safety_augmentation | ncb-scientific-9181e305d0e360a5 | scientific | ncb-claim-a44d2718db4923a4 | {
"claim_id": "psychosis_q024",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ChineseSZ_REP",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_between_network",
"predi... | 9181e305d0e360a5d17ec43febd9d32a46fc572a1fa87ab8680c7b4cb79abe90 | ready | fMRI-FC | 9181e305d0e360a5d17ec43febd9d32a46fc572a1fa87ab8680c7b4cb79abe90 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q024",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In ChineseSZ_REP, do SZ and HC groups differ in fc_between_network in an unadjusted comparison using dx as the only predictor and no covariates? | 13054da604d3991a2fb72837b3c7c4bcc617d91a730fe2a6dd173d5bd4704510 | ncb-scientific-9181e305d0e360a5 | f9db43e6f72307ea7100188fa90179ca49373155e2ee2a9897a7dc46537b90b9 | ncb-sem-a44d2718db4923a4 | psychosis | [
"ncb21-task-4500dc8037b51034"
] |
[
"age_dyno_ukb_hcpa"
] | ambiguous_unresolved | ncb-scientific-9211f485178e8764 | scientific | ncb-claim-897f4445da0cc6c8 | {
"claim_id": "age_dyno_ukb_hcpa",
"covariates": [
"sex",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
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"group": null,
"outcome": "fc_fc_",
"predictor": "age",
"region_set": null,
"type": "association",
"unit": "brainwide"
},
"gates":... | 9211f485178e876413d000ae0d666f5eb21558c7ceb341bc2df9a556e8380671 | ambiguous_unresolved | fMRI-FC | 9211f485178e876413d000ae0d666f5eb21558c7ceb341bc2df9a556e8380671 | [
{
"prior_label": "candidate_unknown",
"source_citation": "Fjell and Walhovd 2010 review [VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "age_dyno_ukb_hcpa",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "normativ... | For age association with fMRI dynamics descriptors in fMRI-dynamics, using UKB as discovery and HCP_Aging as replication, test the claim with expected direction two_sided and adjust for sex;site when available. | 4aaab4ba4d4a98b5bd36ae35bbdec5d3dfc82b37a260be9e5768c51337b6cce3 | ncb-scientific-9211f485178e8764 | a2d65fc3a0e90295fb4b24868529e27d20a43c3579c79212bdfa6548cef64fbc | ncb-sem-897f4445da0cc6c8 | normative_fmri | [] |
[
"pubmed_35583796_pmid35583796_rsfc_dmn_within"
] | aligned | ncb-scientific-9306eed5ac12c7af | scientific | ncb-claim-48f5ab47f50c688b | {
"claim_id": "pubmed_35583796_pmid35583796_rsfc_dmn_within",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc... | 9306eed5ac12c7afb5d6c7513192e5e650af6d2ccd09172f90bd0be83b95b662 | ready | fMRI-FC | 9306eed5ac12c7afb5d6c7513192e5e650af6d2ccd09172f90bd0be83b95b662 | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:35583796; DOI:10.1007/7854_2022_345",
"source_collection": "stage2_current",
"source_id": "pubmed_35583796_pmid35583796_rsfc_dmn_within",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all-gpt55/... | For literature-grounded ADHD diagnosis versus controls effect on default mode network within-network functional connectivity in resting-state fMRI functional connectivity, using ABCD as discovery and ADHD200 as replication, test the claim with expected direction two_sided and adjust for age;sex;site when available. | fec24c80fd4b76d227cb257a90f867bca482a7e13d76fb0ad6c93c70edfef3ff | ncb-scientific-9306eed5ac12c7af | f8413b5727abd7fe701db2fe03fa539e2cdc19504c6967e636818bf9b5177249 | ncb-sem-48f5ab47f50c688b | adhd | [
"ncb21-task-8f1d97de95a41566"
] |
[
"ad_entorhinal_atrophy_adni_oasis3"
] | aligned_with_safety_augmentation | ncb-scientific-9346832a3ea94fed | scientific | ncb-claim-ed01d7c380e3f82b | {
"claim_id": "ad_entorhinal_atrophy_adni_oasis3",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "smri_... | 9346832a3ea94fed1779e67d24dd063322531f7532512b5576692279e9c5150b | ready | sMRI | 9346832a3ea94fed1779e67d24dd063322531f7532512b5576692279e9c5150b | [
{
"prior_label": "known_positive",
"source_citation": "Braak and Braak 1991 Acta Neuropathologica; Jack et al. 2018 Alzheimer's & Dementia",
"source_collection": "legacy_scientific",
"source_id": "ad_entorhinal_atrophy_adni_oasis3",
"source_mode": "literature",
"source_path": "data/claims/fi... | For AD entorhinal atrophy in sMRI, using ADNI as discovery and OASIS3 as replication, test the claim with expected direction negative and adjust for age;sex;eTIV when available. | e9bfbb45155f52912fb21fcec0d272b69e1e9c2ff9663b0d273b03591ce6fa7c | ncb-scientific-9346832a3ea94fed | 25dba1c44642c28cf83b9b72ec3b64bb604d2a1bc1203762b29af79c3a25c8b4 | ncb-sem-ed01d7c380e3f82b | ad_aging | [
"ncb21-task-f8c1d12a12345e3a"
] |
[
"ad_aging_q003"
] | aligned_with_safety_augmentation | ncb-scientific-9448893bb6c6800c | scientific | ncb-claim-799ee41494ce841f | {
"claim_id": "ad_aging_q003",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "positive",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "smri_ventricles",
"pr... | 9448893bb6c6800c78376b8412245b2d4fc95fced01a8b0aca85e2d448fbc3f8 | ready | sMRI | 9448893bb6c6800c78376b8412245b2d4fc95fced01a8b0aca85e2d448fbc3f8 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q003",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In ADNI_DISC, with ADNI_REP as a replication cohort, is Dementia associated with higher smri_ventricles than CN, adjusting for age and sex? | 07b74f1f8fe1ba3839307dfb0f9a7df526923c29df56301ba9fe1caed4f83b37 | ncb-scientific-9448893bb6c6800c | 83d2806595e5a94721d47e2aa2674f4b09ccd03eb59e03bec63d421d49d6bd81 | ncb-sem-799ee41494ce841f | ad_aging | [
"ncb21-task-db30f2576a9c715b"
] |
[
"underpowered_asd_site_abide2"
] | aligned | ncb-scientific-9586a5c1af2ea3f7 | scientific | ncb-claim-8aa8d317c6056cb0 | {
"claim_id": "underpowered_asd_site_abide2",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_",
"predi... | 9586a5c1af2ea3f750efc9fab6e0024a5faa97fed0023cb8ccc5845173e180c0 | ready | fMRI-FC | 9586a5c1af2ea3f750efc9fab6e0024a5faa97fed0023cb8ccc5845173e180c0 | [
{
"prior_label": "fragile",
"source_citation": "Haar et al. 2016 [VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "underpowered_asd_site_abide2",
"source_mode": "inventory",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "asd"
}
] | For ASD small-sample fragile FC stress in fMRI-FC, using ABIDE2 as discovery and ABIDE2 as replication, test the claim with expected direction two_sided and adjust for age;sex;site when available. | 036c278deb19fda270b0513ebefa1fd8ae0019ed63583b6d97c6a48d5b773c2a | ncb-scientific-9586a5c1af2ea3f7 | bb0de2d1230921d3aa2561c2e50a6aca4e50ac965bae47daeff7be1f0e29ddfd | ncb-sem-8aa8d317c6056cb0 | asd | [
"ncb21-task-584ab4cfafce706b"
] |
[
"ad_aging_q026"
] | aligned_with_safety_augmentation | ncb-scientific-970b61f9cba924c6 | scientific | ncb-claim-750f3d2e5a18f3fd | {
"claim_id": "ad_aging_q026",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "OASIS3_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "smri_fusiform",
"pr... | 970b61f9cba924c6d68292ce20e398b5486f23406238ab4f20992d5ff84ef2ca | ready | sMRI | 970b61f9cba924c6d68292ce20e398b5486f23406238ab4f20992d5ff84ef2ca | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q026",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In OASIS3_DISC, with OASIS3_REP as a replication cohort, is Dementia associated with lower smri_fusiform than CN, adjusting for age and sex? | 39825fec627a2e8426a5ffa557927023686d7b60551236745f601adda2bb29fe | ncb-scientific-970b61f9cba924c6 | 3c495dae84f58d4abf858a19d61bceca9c1ea65f66b209e100a7fe9fae3188bc | ncb-sem-750f3d2e5a18f3fd | ad_aging | [
"ncb21-task-84cd5389a14a4ef5"
] |
[
"normative_fmri_043"
] | ambiguous_unresolved | ncb-scientific-9b0372d2c93e148a | scientific | ncb-claim-fd3ecc0a619d4345 | {
"claim_id": "normative_fmri_043",
"covariates": [
"sex",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
"direction": "negative",
"group": null,
"outcome": "fc_fc_Cont_Cont_z",
"predictor": "age",
"region_set": null,
"type": "association",
"unit": "scalar"
},
... | 9b0372d2c93e148a55d818beea55e176baab43b6cdcbb1cadd346c4698342848 | ambiguous_unresolved | fMRI-FC | 9b0372d2c93e148a55d818beea55e176baab43b6cdcbb1cadd346c4698342848 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_043",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | Across UKB_DISC and HCP_Aging_DISC, with replication in UKB_REP and HCP_Aging_REP, is higher age consistently associated with lower control-network within-network connectivity (fc_fc_Cont_Cont_z), adjusting for sex and cognition within each cohort? | 868ecfce7069e6184fb4dbbc39b5727b2c51dfc8894b61a8f3b86b72fc566327 | ncb-scientific-9b0372d2c93e148a | 356b1798856b593f689a489edfc91e278981fb33c7b585cc052fed1815350cca | ncb-sem-fd3ecc0a619d4345 | normative_fmri | [] |
[
"asd_q035"
] | aligned_with_safety_augmentation | ncb-scientific-9b768a7494df75b2 | scientific | ncb-claim-b539cc34023ad082 | {
"claim_id": "asd_q035",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_SalVentAttn_Vis",
"predictor"... | 9b768a7494df75b24fdc89ed6f68cee71fad50a0a2b02684368bd092524d7453 | ready | fMRI-FC | 9b768a7494df75b24fdc89ed6f68cee71fad50a0a2b02684368bd092524d7453 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q035",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "asd"
}
] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_SalVentAttn_Vis differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | cc88496de58670781aed65abe013d8c721c72856c10474b29626ea483fab47ad | ncb-scientific-9b768a7494df75b2 | 34faf88bd89d0c4f362e96b2369f27a67bd925de778c0223dbbc6647d0c61b85 | ncb-sem-b539cc34023ad082 | asd | [
"ncb21-task-9c7e5e6bd554af68"
] |
[
"asd_q018"
] | aligned_with_safety_augmentation | ncb-scientific-9c2e4221cf5ca105 | scientific | ncb-claim-48f5ab47f50c688b | {
"claim_id": "asd_q018",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_Default",
"predictor"... | 9c2e4221cf5ca105c142aa03f1212934ddcc6f3a0b4ae66e5f9d130f892c1d68 | ready | fMRI-FC | 9c2e4221cf5ca105c142aa03f1212934ddcc6f3a0b4ae66e5f9d130f892c1d68 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q018",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "asd"
}
] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_Default_Default differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | ba928d407d1ca0f6c5afdaca542afb27bbb701df9518fa5bf8c117ed20911a6c | ncb-scientific-9c2e4221cf5ca105 | dc88b2e97bfd7ea2c0e87dbaf08c4f744bb24139ffef65d17071bf4fc4de52c2 | ncb-sem-48f5ab47f50c688b | asd | [
"ncb21-task-2ce25bc332b80d88"
] |
[
"pubmed_23333262_pmid23333262_rsfc_aging_1"
] | aligned | ncb-scientific-9c418256797d0a86 | scientific | ncb-claim-4e67c2e3264a8958 | {
"claim_id": "pubmed_23333262_pmid23333262_rsfc_aging_1",
"covariates": [
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "two_sided",
"group": null,
"outcome": "fc_fc_",
"predictor": "age",
"region_set": "resting_state_functional_connectivity",
"t... | 9c418256797d0a86064d970a3e88ff8457d32310776b1a8297e66c8a796c3e35 | ready | fMRI-FC | 9c418256797d0a86064d970a3e88ff8457d32310776b1a8297e66c8a796c3e35 | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:23333262; DOI:10.1016/j.neubiorev.2013.01.017",
"source_collection": "stage2_current",
"source_id": "pubmed_23333262_pmid23333262_rsfc_aging_1",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all... | For literature-grounded age / older adults versus younger adults effect on resting-state functional connectivity in rs-fMRI / fMRI-FC, using ABCD as discovery and HCP_Aging as replication, test the claim with expected direction two_sided and adjust for age;sex;site when available. | df99e81362b75dffbcbd07d8ee8f1a11c596fe3cb083ca887736f7d22a97e830 | ncb-scientific-9c418256797d0a86 | 6d9e05009d015781220d9a99c3dca3d7c4753d735161a846bcb46c27b1ecd554 | ncb-sem-4e67c2e3264a8958 | normative_fmri | [
"ncb21-task-d3bbe5d9c3f53c79"
] |
[
"ad_brainwide_smri_adni_oasis3"
] | aligned_with_safety_augmentation | ncb-scientific-9cb81ca19caf7d9d | scientific | ncb-claim-39943956b4ca7390 | {
"claim_id": "ad_brainwide_smri_adni_oasis3",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": [
"s... | 9cb81ca19caf7d9d6b49e500a49ea556a78744f64b6fd83c145fea8fe986637c | ready | sMRI | 9cb81ca19caf7d9d6b49e500a49ea556a78744f64b6fd83c145fea8fe986637c | [
{
"prior_label": "known_positive",
"source_citation": "Jack et al. 2018 NIA-AA framework",
"source_collection": "legacy_scientific",
"source_id": "ad_brainwide_smri_adni_oasis3",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "ad_a... | For AD regional atrophy signature in sMRI, using ADNI as discovery and OASIS3 as replication, test the claim with expected direction negative and adjust for age;sex;eTIV when available. | 97be5076603be9d917c886dc45ede9e795636baad44684b76a809bc66b0edc5c | ncb-scientific-9cb81ca19caf7d9d | b163327a1cf450d5f3da5346f19f8b4715011e0094f8209838dfcb2ea37c9a64 | ncb-sem-39943956b4ca7390 | ad_aging | [
"ncb21-task-47e6d67533617281"
] |
[
"psychosis_q027"
] | aligned_with_safety_augmentation | ncb-scientific-9eaf2a23ddb73ea3 | scientific | ncb-claim-2166e66544e56e96 | {
"claim_id": "psychosis_q027",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "FBIRN_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_within_network",
"predictor"... | 9eaf2a23ddb73ea3b9ad8419cc764b871d15a798fea17ac3a71821704466415e | ready | fMRI-FC | 9eaf2a23ddb73ea3b9ad8419cc764b871d15a798fea17ac3a71821704466415e | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q027",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In FBIRN_DISC, is fc_within_network lower in SZ than HC in an unadjusted comparison with dx as the only predictor and no covariates? | b278ca421543844fa380ea4735c7f7b3cc5a775f453e6281dd449682d6ea98fa | ncb-scientific-9eaf2a23ddb73ea3 | 11cb39da8a64e2be9e6096cba334e0ce56565619423b10be8e5cc6fdae7fca4b | ncb-sem-2166e66544e56e96 | psychosis | [
"ncb21-task-5dcad199cd3ebbe8"
] |
[
"adhd_q001"
] | aligned_with_safety_augmentation | ncb-scientific-9ec4c7f2ec1fad99 | scientific | ncb-claim-d6fdc1c9578b0a3a | {
"claim_id": "adhd_q001",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_DorsAttn_z",
"predictor... | 9ec4c7f2ec1fad994bbafcb3d8260862dc2d3b5829226c0f0c4ea111889d1c08 | ready | fMRI-FC | 9ec4c7f2ec1fad994bbafcb3d8260862dc2d3b5829226c0f0c4ea111889d1c08 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q001",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ABCD_DISC, excluding participants with missing dx, is ADHD status (dx=1.0 vs dx=0.0) associated with lower Default-DorsalAttention connectivity (fc_fc_Default_DorsAttn_z), with no additional covariates, and does the same direction appear in ABCD_REP? | 0f3cb7e08cf79f5f578777c344fa64211184f4044949e50c9edc1ad14aa1eb54 | ncb-scientific-9ec4c7f2ec1fad99 | f0afbb20ed1fa01f3bd10c7dcee0bb501d98f39a5aebaf7a9283bdee421d2ace | ncb-sem-d6fdc1c9578b0a3a | adhd | [
"ncb21-task-d1b98a4ced7af402"
] |
[
"adhd_q011"
] | aligned_with_safety_augmentation | ncb-scientific-9f890b1a7a66889e | scientific | ncb-claim-e5afc4f4b28405cf | {
"claim_id": "adhd_q011",
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"age",
"sex",
"site"
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"group": {
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},
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"predic... | 9f890b1a7a66889eb010dc6a885fa8ac58380191f9b86429c8ce90076d63edcc | ready | fMRI-FC | 9f890b1a7a66889eb010dc6a885fa8ac58380191f9b86429c8ce90076d63edcc | [
{
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}
] | In ADHD200_DISC, is any ADHD diagnosis (dx in {1,2,3}) versus control (dx=0) associated with lower Default-DorsalAttention connectivity (fc_fc_Default_DorsAttn_z), with no additional covariates, and does this replicate in ADHD200_REP? | c11760e2e99fad3c8987f0d164fa3e1e8cf068f32903786dee358c5ac5fa3e3f | ncb-scientific-9f890b1a7a66889e | 00d428b15dc44048adc2302643c49308366369bc943ac4534c312ccbd180391b | ncb-sem-e5afc4f4b28405cf | adhd | [
"ncb21-task-5cac938d3c79d8d8"
] |
[
"asd_q029"
] | aligned_with_safety_augmentation | ncb-scientific-a02841671504d8cd | scientific | ncb-claim-0beda20d705c4856 | {
"claim_id": "asd_q029",
"covariates": [
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],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
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},
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"predictor": ... | a02841671504d8cd91f7002bbbc87782b0cb75c4c91c3c75f40930bf0fc27467 | ready | fMRI-FC | a02841671504d8cd91f7002bbbc87782b0cb75c4c91c3c75f40930bf0fc27467 | [
{
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"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
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}
] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_Limbic_Limbic differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | cbd2d211c6dc6de80c4b9f18ade9709f22962b3b4c1fb13e66f334359e7003ef | ncb-scientific-a02841671504d8cd | 5293f7fc3fbd61338fa219ef1478adf4aa6b2fab233abcddcc55abe72e446a44 | ncb-sem-0beda20d705c4856 | asd | [
"ncb21-task-b95b16ef9794f281"
] |
[
"normative_fmri_002"
] | aligned_with_safety_augmentation | ncb-scientific-a1bf69b8f56d46c9 | scientific | ncb-claim-489bd403d62f2366 | {
"claim_id": "normative_fmri_002",
"covariates": [
"sex",
"phen_fluid_intelligence",
"site"
],
"discovery_cohort": "UKB_DISC",
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"region_set": null,
"type": "association... | a1bf69b8f56d46c996f93349f5201c8b628f7dd5753a9899ff61c78ed977e658 | ready | fMRI-FC | a1bf69b8f56d46c996f93349f5201c8b628f7dd5753a9899ff61c78ed977e658 | [
{
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"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_002",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | In UKB_DISC, with replication in UKB_REP, is higher age associated with lower control-network within-network connectivity (fc_fc_Cont_Cont_z), adjusting for sex and cognition? | f690472eed97befcc9498b6fe58120bdca883a9b7f7d01b8fba12785a7380316 | ncb-scientific-a1bf69b8f56d46c9 | b43571193e81375c0c3af3ac486953b78dacf81830926396d76dba702060446f | ncb-sem-489bd403d62f2366 | normative_fmri | [
"ncb21-task-6959208181ee6072"
] |
[
"psychosis_q049"
] | aligned_with_safety_augmentation | ncb-scientific-a1da46d7f5fa792d | scientific | ncb-claim-0de9c0c5b4d3defc | {
"claim_id": "psychosis_q049",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "BSNIP2_DISC",
"estimand": {
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"group": {
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"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_mean_positive",
"predictor"... | a1da46d7f5fa792d06b40ef905be2163aa10371959c82a12774363e09e80a844 | ready | fMRI-FC | a1da46d7f5fa792d06b40ef905be2163aa10371959c82a12774363e09e80a844 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
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"source_id": "psychosis_q049",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | Across the four discovery cohorts BSNIP2_DISC, COBRE_DISC, ChineseSZ_DISC, and FBIRN_DISC, is SZ associated with lower fc_mean_positive than HC in unadjusted dx-only comparisons with no covariates? | 849940a6d905eab0f21abc57eb9b71c66c1e25ab1c5041d6406fb28becad517a | ncb-scientific-a1da46d7f5fa792d | f6ee386d644bb4c0c9961d4f1d7d079e252374a9933464dbfaf0059653711304 | ncb-sem-0de9c0c5b4d3defc | psychosis | [
"ncb21-task-eb68dfa2754f1db6"
] |
[
"ad_midtemp_atrophy_adni_oasis3"
] | aligned_with_safety_augmentation | ncb-scientific-a20d5751ea756186 | scientific | ncb-claim-5ec25f86a95995a3 | {
"claim_id": "ad_midtemp_atrophy_adni_oasis3",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "smri_mid... | a20d5751ea756186d20b808bb6f95bf13e0bc956ea37bccdfd0404d9233947ed | ready | sMRI | a20d5751ea756186d20b808bb6f95bf13e0bc956ea37bccdfd0404d9233947ed | [
{
"prior_label": "known_positive",
"source_citation": "Jack et al. 2018 Alzheimer's & Dementia",
"source_collection": "legacy_scientific",
"source_id": "ad_midtemp_atrophy_adni_oasis3",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family"... | For AD middle temporal atrophy in sMRI, using ADNI as discovery and OASIS3 as replication, test the claim with expected direction negative and adjust for age;sex;eTIV when available. | 27b894055f88f8bc33ad7398a202e6882cd2c1be7d493aa9dceb5843f2db3ff2 | ncb-scientific-a20d5751ea756186 | 4f22eb39dbbd4c8a46fa72c57641762827f42d7e6850cffa6e200dddec96434b | ncb-sem-5ec25f86a95995a3 | ad_aging | [
"ncb21-task-03389888b8f63226"
] |
[
"ad_fdg_hypometabolism_adni"
] | aligned_with_safety_augmentation | ncb-scientific-a36ed4355870c674 | scientific | ncb-claim-cf0eadfce7fc0fa3 | {
"claim_id": "ad_fdg_hypometabolism_adni",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "pet_fdg_suvr... | a36ed4355870c67495b9c1642246c88e628f924a40b61dcf3dc95742bd0f7c0b | ready | PET | a36ed4355870c67495b9c1642246c88e628f924a40b61dcf3dc95742bd0f7c0b | [
{
"prior_label": "candidate_unknown",
"source_citation": "provisional",
"source_collection": "legacy_scientific",
"source_id": "ad_fdg_hypometabolism_adni",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "ad_aging"
}
] | For AD FDG hypometabolism in PET, using ADNI as discovery, test the claim with expected direction negative and adjust for age;sex when available. | 56be5325b4e73bd57c10e849d6dab1725eff973e263b44fe8b6aa56c29fe3547 | ncb-scientific-a36ed4355870c674 | 331c26efa5688b437e6263e8f8e0a90dfcd67164a28ad459d05962ee91067e36 | ncb-sem-cf0eadfce7fc0fa3 | ad_aging | [
"ncb21-task-06ebe3ba5846d880"
] |
[
"ad_aging_q048"
] | aligned_with_safety_augmentation | ncb-scientific-a3f4263a0dce56cf | scientific | ncb-claim-ba2b48484a525868 | {
"claim_id": "ad_aging_q048",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADNI_fMRI_REP",
"estimand": {
"direction": "negative",
"group": {
"case": "2.0",
"control": "0.0",
"var": "dx"
},
"outcome": "fc_fc_Cont_Default_z",
"predictor": "dx",
... | a3f4263a0dce56cf738ebd2d271cf2f786acf25f6ab1432a96784f063e51d349 | ready | fMRI-FC | a3f4263a0dce56cf738ebd2d271cf2f786acf25f6ab1432a96784f063e51d349 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q048",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In ADNI_fMRI_REP, excluding participants with missing diagnosis code, is diagnosis code 2.0 associated with lower fc_fc_Cont_Default_z than diagnosis code 0.0, adjusting for age and sex? | 19e071037357ceedd8222b71e868797a6a5d8c0b0fc9a3c80412e3c081ee348c | ncb-scientific-a3f4263a0dce56cf | 6190d6f1f378f912d39fce6d19e77354cd41bebe544e8e3e26d2ffb71a0cacc1 | ncb-sem-ba2b48484a525868 | ad_aging | [
"ncb21-task-fd6e517ddccfca52"
] |
[
"normative_fmri_027"
] | aligned_with_safety_augmentation | ncb-scientific-a427d5471566b2cf | scientific | ncb-claim-f6cad41f7540de84 | {
"claim_id": "normative_fmri_027",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "HCP_Aging_DISC",
"estimand": {
"direction": "positive",
"group": null,
"outcome": "fc_fc_Cont_Cont_z",
"predictor": "phen_fluid_composite",
"region_set": null,
"type": "associat... | a427d5471566b2cf475103489cde2f05ea57bbab09ea9cdd585ccf3a09b6dc00 | ready | fMRI-FC | a427d5471566b2cf475103489cde2f05ea57bbab09ea9cdd585ccf3a09b6dc00 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_027",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | In HCP_Aging_DISC, with replication in HCP_Aging_REP, is higher cognition associated with higher control-network within-network connectivity (fc_fc_Cont_Cont_z), adjusting for age and sex? | a41420f536f7714287e4dfce224f39ed0adc6ad4ae0bd1571069678cda9ee1ba | ncb-scientific-a427d5471566b2cf | 9909e5d6fa1fb30b43617472f134386b76565f1092f7b928b667f8782abe8313 | ncb-sem-f6cad41f7540de84 | normative_fmri | [
"ncb21-task-28a263d013fa1b7a"
] |
[
"ad_aging_q039"
] | aligned_with_safety_augmentation | ncb-scientific-a545812912502796 | scientific | ncb-claim-fe54b24b204c7f65 | {
"claim_id": "ad_aging_q039",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "OASIS3_fMRI_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "2",
"control": "0",
"var": "dx"
},
"outcome": "fc_fc_Default_DorsAttn_z",
"predictor": "d... | a5458129125027964cfadcefcff0f19c0d3ceed68aede1f9609ffc45247c35e4 | ready | fMRI-FC | a5458129125027964cfadcefcff0f19c0d3ceed68aede1f9609ffc45247c35e4 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q039",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In OASIS3_fMRI_DISC, with OASIS3_fMRI_REP as a replication cohort, does fc_fc_Default_DorsAttn_z differ between diagnosis code 2 and diagnosis code 0, adjusting for age and sex? | 3705528892a64fa460f4e855d090bd868883354897a476251e99f56202639ce3 | ncb-scientific-a545812912502796 | 80c6f00c88e232ba741a0e2a80ac4f21b78d57de886f19e076a36262716b27b0 | ncb-sem-fe54b24b204c7f65 | ad_aging | [
"ncb21-task-f605692c83792681"
] |
[
"asd_q031"
] | aligned_with_safety_augmentation | ncb-scientific-a7bd041be62e2db4 | scientific | ncb-claim-c1015aaf0f628f94 | {
"claim_id": "asd_q031",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Limbic_SomMot",
"predictor": ... | a7bd041be62e2db43aded1d76a6c0b581c7274b1f519b9d483c62e6dc39f3136 | ready | fMRI-FC | a7bd041be62e2db43aded1d76a6c0b581c7274b1f519b9d483c62e6dc39f3136 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q031",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "asd"
}
] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_Limbic_SomMot differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 3e5de38ee0c91ab4b8c978611368431913f9e80f1d93980483df61e2376788ce | ncb-scientific-a7bd041be62e2db4 | 3714a41f633c1dc72807b8c293ed5379671b1fd549f8f1ef207a511c1177c621 | ncb-sem-c1015aaf0f628f94 | asd | [
"ncb21-task-b44a4ec14f918682"
] |
[
"normative_fmri_007"
] | aligned_with_safety_augmentation | ncb-scientific-a9e0ba33a876abc0 | scientific | ncb-claim-ec08872e19a717ae | {
"claim_id": "normative_fmri_007",
"covariates": [
"sex",
"phen_fluid_intelligence",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
"direction": "negative",
"group": null,
"outcome": "fc_fc_SomMot_SomMot_z",
"predictor": "age",
"region_set": null,
"type": "associa... | a9e0ba33a876abc0fa6cbc657ebbfa5b3516bdf998288dcb9ea497f1dd12cfda | ready | fMRI-FC | a9e0ba33a876abc0fa6cbc657ebbfa5b3516bdf998288dcb9ea497f1dd12cfda | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_007",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | In UKB_DISC, with replication in UKB_REP, is higher age associated with lower somatomotor within-network connectivity (fc_fc_SomMot_SomMot_z), adjusting for sex and cognition? | 633cfc5e33b7c5e69d55f47588bbc479674deee1e1de7216ce7490d6119c6bc2 | ncb-scientific-a9e0ba33a876abc0 | 42753116d455ebd0fa4e5f85e303ac4e3504e22301918cfa510a3edcb016fc51 | ncb-sem-ec08872e19a717ae | normative_fmri | [
"ncb21-task-c781fd15ae8248cb"
] |
[
"normative_fmri_005"
] | aligned_with_safety_augmentation | ncb-scientific-acb1371a4d55e5b6 | scientific | ncb-claim-44eddefc96bcba31 | {
"claim_id": "normative_fmri_005",
"covariates": [
"sex",
"phen_fluid_intelligence",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
"direction": "positive",
"group": null,
"outcome": "fc_fc_Default_SalVentAttn_z",
"predictor": "age",
"region_set": null,
"type": "a... | acb1371a4d55e5b67d2d06ead7f73f437ea8d35c88a4fe46cbd67148b6955944 | ready | fMRI-FC | acb1371a4d55e5b67d2d06ead7f73f437ea8d35c88a4fe46cbd67148b6955944 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_005",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | In UKB_DISC, with replication in UKB_REP, is higher age associated with higher connectivity between default-mode and salience/ventral-attention networks (fc_fc_Default_SalVentAttn_z), adjusting for sex and cognition? | 0f95eab306534d82d2c25aa789d7b0145508c7161412e1c1a7dc75893a845bfc | ncb-scientific-acb1371a4d55e5b6 | 1bed342b372aa99d3734ec9faa91e63156571e9cc04e9d6ed6d92ce916f3c947 | ncb-sem-44eddefc96bcba31 | normative_fmri | [
"ncb21-task-31b5436965a2340b"
] |
[
"adhd_q045"
] | ambiguous_unresolved | ncb-scientific-ad793f2b627c14db | scientific | ncb-claim-5b1663a8a741ec6a | {
"claim_id": "adhd_q045",
"covariates": [],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_DorsAttn_z",
"predictor": "confirm_dx",
"region_set": ... | ad793f2b627c14db9571a23bc5ff054129a8af48d092cae596e02c3fbd8ca3e6 | ambiguous_unresolved | fMRI-FC | ad793f2b627c14db9571a23bc5ff054129a8af48d092cae596e02c3fbd8ca3e6 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q045",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ABCD_DISC, excluding missing dx, does ADHD status (dx=1.0 vs dx=0.0) relate more strongly to z-transformed Default-DorsalAttention connectivity (fc_fc_Default_DorsAttn_z) than to the corresponding untransformed measure (fc_fc_Default_DorsAttn), using no additional covariates, and is the pattern checked in ABCD_REP? | 33e67a6ff2acbae4b2f86b6e1a721f1a0793bf70a93436104c7373d2e22cd7fe | ncb-scientific-ad793f2b627c14db | 5ccabb2b1b83d654a34e15df1e775980cf51bea7afdf0ad9a4bcf9ecf3f122e9 | ncb-sem-5b1663a8a741ec6a | adhd | [] |
[
"asd_q013"
] | aligned_with_safety_augmentation | ncb-scientific-adc64a42191e17f6 | scientific | ncb-claim-33511e0d8cad530d | {
"claim_id": "asd_q013",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Cont_DorsAttn",
"predictor": ... | adc64a42191e17f63007bc25281becbf3d5835b1b4907a7c66c7d4875362948d | ready | fMRI-FC | adc64a42191e17f63007bc25281becbf3d5835b1b4907a7c66c7d4875362948d | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q013",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "asd"
}
] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_Cont_DorsAttn differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 778579800099c6d585924c98ec2c69a59dc9d6efc8ba7243193d1f06716cbf15 | ncb-scientific-adc64a42191e17f6 | f1876c5eb00f38c0b40e8f20d71439c9cf3fea6934ecb2815658418beecd51ce | ncb-sem-33511e0d8cad530d | asd | [
"ncb21-task-8c1c0d2918c17a43"
] |
[
"normative_fmri_044"
] | ambiguous_unresolved | ncb-scientific-adc7daee506cca47 | scientific | ncb-claim-92c42c52b1e6d472 | {
"claim_id": "normative_fmri_044",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
"direction": "positive",
"group": null,
"outcome": "fc_fc_Cont_Cont_z",
"predictor": "phen_fluid_intelligence",
"region_set": null,
"type": "association... | adc7daee506cca470db321582aa77b9cc0e7f2abd527b99d4738e32de92f9075 | ambiguous_unresolved | fMRI-FC | adc7daee506cca470db321582aa77b9cc0e7f2abd527b99d4738e32de92f9075 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_044",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | Across UKB_DISC and HCP_Aging_DISC, with replication in UKB_REP and HCP_Aging_REP, is higher cognition consistently associated with higher control-network within-network connectivity (fc_fc_Cont_Cont_z), adjusting for age and sex within each cohort? | ae80a32cb010bf73a15d6e0b95b5781a5be2e6ad296977d2d8502fed1bfd1f30 | ncb-scientific-adc7daee506cca47 | a501cadecf3537472a14dd8e5597b357d3aba9a891ffccba9c148e05f9c678c5 | ncb-sem-92c42c52b1e6d472 | normative_fmri | [] |
[
"asd_q046"
] | aligned | ncb-scientific-afbfd52ab898aa8b | scientific | ncb-claim-01b92be6f309d0ae | {
"claim_id": "asd_q046",
"covariates": [],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_Default_z",
"predictor": "confirm_dx",
"region_set": ... | afbfd52ab898aa8b75058616b6193b34892bea7f7d452244ed64defafeede78a | ready | fMRI-FC | afbfd52ab898aa8b75058616b6193b34892bea7f7d452244ed64defafeede78a | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q046",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "asd"
}
] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_Default_Default_z differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 8f745d620c26413a8472bc7517e775687522b7c7596773a1a7f081b30a404033 | ncb-scientific-afbfd52ab898aa8b | e44382c288c683f79d9c5767662cd33a846b2da4c2bff27e709331296bd054f8 | ncb-sem-01b92be6f309d0ae | asd | [
"ncb21-task-b4d563d354061986"
] |
[
"adhd_q020"
] | aligned_with_safety_augmentation | ncb-scientific-afe1f83e3d954a8c | scientific | ncb-claim-dfdb03eae900b7ea | {
"claim_id": "adhd_q020",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "positive",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_SomMot_SomMot_z",
"predictor... | afe1f83e3d954a8cea0ae7eceea167af281c6ea8ddce2bc289e93500d6ac2e54 | ready | fMRI-FC | afe1f83e3d954a8cea0ae7eceea167af281c6ea8ddce2bc289e93500d6ac2e54 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q020",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ADHD200_DISC, is any ADHD diagnosis (dx in {1,2,3}) versus control (dx=0) associated with higher Somatomotor-Somatomotor connectivity (fc_fc_SomMot_SomMot_z), with no additional covariates, and is this direction seen in ADHD200_REP? | a6ebc92d75b1dd68107aaeb8a568c0d613fd38e1bbdd8f91cc7a0013c56d912b | ncb-scientific-afe1f83e3d954a8c | 6d7912e2d75b61ecfe93389a8b5b1de017f7406766c9a73fe91b8266b2d28976 | ncb-sem-dfdb03eae900b7ea | adhd | [
"ncb21-task-cacb3bd51f7eea36"
] |
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