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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"psychosis_q046"
] | aligned | ncb-scientific-172d75bcc17dcce9 | scientific | ncb-claim-b158ae5ae8b91424 | {
"claim_id": "psychosis_q046",
"covariates": [],
"discovery_cohort": "FBIRN_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_mean_abs",
"predictor": "confirm_dx",
"region_set": null,
... | 172d75bcc17dcce9c2a8cde3b446b4521935e40d9bee3691b4d574e1b426012d | ready | fMRI-FC | 172d75bcc17dcce9c2a8cde3b446b4521935e40d9bee3691b4d574e1b426012d | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q046",
"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_abs directionally consistent in unadjusted dx-only comparisons with no covariates? | 801d163072ac548006b03fd8eaa0ff97f01d380f90e7d7c5d906ac4deffc9b43 | ncb-scientific-172d75bcc17dcce9 | 68f3e3d6b4329417016b6e28cd3a86be4825bfc6d274d17e8ab55b07cb302b52 | ncb-sem-b158ae5ae8b91424 | psychosis | [
"ncb21-task-c8829f53c8dd90c9"
] |
[
"ad_aging_q028"
] | aligned_with_safety_augmentation | ncb-scientific-1775e0699f7d950f | scientific | ncb-claim-1bd1a60a1440fb79 | {
"claim_id": "ad_aging_q028",
"covariates": [
"sex",
"eTIV",
"site"
],
"discovery_cohort": "OASIS3_DISC",
"estimand": {
"direction": "positive",
"group": null,
"outcome": "smri_ventricles",
"predictor": "age",
"region_set": null,
"type": "association",
"unit": "scalar"... | 1775e0699f7d950fdfe70ffa2494b3427fbca176a2fb9bd01c5bf5329b7dd39e | ready | sMRI | 1775e0699f7d950fdfe70ffa2494b3427fbca176a2fb9bd01c5bf5329b7dd39e | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q028",
"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 higher smri_ventricles, adjusting for sex? | 7673d352e1390cc7192eb6c2ff946377a66e9b24a0fc99e47439342ab500e2f9 | ncb-scientific-1775e0699f7d950f | 3871f231cdf9fbed5bf470b80b3da55f518a3e6ec860edfd1b78242a8189ac7e | ncb-sem-1bd1a60a1440fb79 | ad_aging | [
"ncb21-task-f6d996a2ba79a086"
] |
[
"adhd_q041"
] | aligned_with_safety_augmentation | ncb-scientific-1954832d44d0ebd1 | scientific | ncb-claim-af493c396e1173da | {
"claim_id": "adhd_q041",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_DorsAttn_Vis_z",
"predictor... | 1954832d44d0ebd153d33a92a73ee22d02a964c7b8fcdadd30845d32219325eb | ready | fMRI-FC | 1954832d44d0ebd153d33a92a73ee22d02a964c7b8fcdadd30845d32219325eb | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q041",
"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 DorsalAttention-Visual connectivity (fc_fc_DorsAttn_Vis_z), with no additional covariates? | 8bc529b5e9ad12fe39e7c2aac1e087d82346ebf78a63b62520fb568907a30ee9 | ncb-scientific-1954832d44d0ebd1 | 9965bbb5327fdf974600318a00f0d626e251b8be937e9feb802ca81a3ffe5989 | ncb-sem-af493c396e1173da | adhd | [
"ncb21-task-3b0e41e0dc79abef"
] |
[
"asd_q032"
] | aligned_with_safety_augmentation | ncb-scientific-19802d4080b79f2e | scientific | ncb-claim-ecf88ea9b21fc37a | {
"claim_id": "asd_q032",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Limbic_Vis",
"predictor": "co... | 19802d4080b79f2e8f176ede52b798824d854ec76cd44f5f03a2db90b40b33bc | ready | fMRI-FC | 19802d4080b79f2e8f176ede52b798824d854ec76cd44f5f03a2db90b40b33bc | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q032",
"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_Vis differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | f68ebdf86b61f4ddf03be5e934baa70b054571d6a60ef6106fab704fdce6791c | ncb-scientific-19802d4080b79f2e | 810e1165e4d755088cab4e0d38f247f63811b6c8a40ffd9ce8b003a9effe36b3 | ncb-sem-ecf88ea9b21fc37a | asd | [
"ncb21-task-f521adcc4c6f9c05"
] |
[
"ad_aging_q001",
"ad_aging_q010"
] | aligned_with_safety_augmentation | ncb-scientific-1b8a8b0d4ec2f528 | scientific | ncb-claim-d295d09b83e74459 | {
"claim_id": "ad_aging_q001",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "smri_hippocampus",
"p... | 1b8a8b0d4ec2f5286857565cc3b20b69b0e31e8b7a6ef26b710a5387f2b28f93 | ready | sMRI | 1b8a8b0d4ec2f5286857565cc3b20b69b0e31e8b7a6ef26b710a5387f2b28f93 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q001",
"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_hippocampus than CN, adjusting for age and sex? | 1504487b6b62f6f843c36f09dac3d721baac3e9b0d8f05b3f0e4d736f4ff2dd7 | ncb-scientific-1b8a8b0d4ec2f528 | b3e19b2d6b453b9bd2df225b99dd31fb3f14519312f5f1d8b59832a9b8a4700b | ncb-sem-d295d09b83e74459 | ad_aging | [
"ncb21-task-fb4489244a478c3c"
] |
[
"normative_fmri_030"
] | aligned_with_safety_augmentation | ncb-scientific-1bc0eeed8b9a00bc | scientific | ncb-claim-9baa4928c0e53a88 | {
"claim_id": "normative_fmri_030",
"covariates": [
"age",
"phen_fluid_composite",
"site"
],
"discovery_cohort": "HCP_Aging_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "F",
"control": "M",
"var": "sex"
},
"outcome": "fc_fc_Cont_Limbic_z",
... | 1bc0eeed8b9a00bcce2b16c492833a958ed447237b1b30b729a3a74a70d428bf | ready | fMRI-FC | 1bc0eeed8b9a00bcce2b16c492833a958ed447237b1b30b729a3a74a70d428bf | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_030",
"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, do females and males differ in control-to-limbic connectivity (fc_fc_Cont_Limbic_z), adjusting for age and cognition? | 53bbcf6a2b0a61878655e2e0d64b3a5ac9128bdced0680878f27860708d8d09a | ncb-scientific-1bc0eeed8b9a00bc | 51ebc78f165428d1940fb45573c1115a6f102e4b3919f9dfaf2a4809867f549f | ncb-sem-9baa4928c0e53a88 | normative_fmri | [
"ncb21-task-4990a40bd94c76a7"
] |
[
"adhd_dyno_adhd200_abcd"
] | aligned | ncb-scientific-1c1c6743a2aa1468 | scientific | ncb-claim-4921f413ed66b158 | {
"claim_id": "adhd_dyno_adhd200_abcd",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "raw_fmri_dyno_",
"pr... | 1c1c6743a2aa1468c93471f6988cf5936bf1fb3c13e4c18b848baf0a07b06338 | ready | other | 1c1c6743a2aa1468c93471f6988cf5936bf1fb3c13e4c18b848baf0a07b06338 | [
{
"prior_label": "fragile",
"source_citation": "ADHD-200 Consortium 2012 [VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "adhd_dyno_adhd200_abcd",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "adhd"
}
] | For ADHD case-control fMRI dynamics difference in fMRI-dynamics, using ADHD200 as discovery and ABCD as replication, test the claim with expected direction two_sided and adjust for age;sex;site when available. | f19f3c6e8e272e3ddeceed3b9fb2295a0c311583fb57009972a182a05ba2e34c | ncb-scientific-1c1c6743a2aa1468 | 5594d6e3625f5ef4319d909bf8303c9d2db04725a00a353d8a20e33db834439a | ncb-sem-4921f413ed66b158 | adhd | [
"ncb21-task-c3310379971f41e3"
] |
[
"pubmed_31313441_31313441-psychosis-rsfc-casecontrol"
] | aligned | ncb-scientific-1c4bb13eab05e379 | scientific | ncb-claim-7fef9c55448de8a8 | {
"claim_id": "pubmed_31313441_31313441-psychosis-rsfc-casecontrol",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "BSNIP2_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome"... | 1c4bb13eab05e37903f684a6f8836eb4046bdfd60c0337e4be303461922306ff | ready | fMRI-FC | 1c4bb13eab05e37903f684a6f8836eb4046bdfd60c0337e4be303461922306ff | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:31313441; DOI:10.1002/hbm.24723",
"source_collection": "stage2_current",
"source_id": "pubmed_31313441_31313441-psychosis-rsfc-casecontrol",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all-gpt... | For literature-grounded schizophrenia patients versus controls effect on resting-state functional connectivity in major functional networks in fMRI-FC, using BSNIP2 as discovery and COBRE as replication, test the claim with expected direction negative and adjust for age;sex;site when available. | beb1e5dda51a98cabaa46ec34d86bd89da9389294f841f74428546b35a7a1b1c | ncb-scientific-1c4bb13eab05e379 | 354d2e61b25819f84bdcfc33b06b7f62188f5e759b61549752313ae2ca819f08 | ncb-sem-7fef9c55448de8a8 | psychosis | [
"ncb21-task-d16970e16e73be72"
] |
[
"ad_aging_q038"
] | aligned_with_safety_augmentation | ncb-scientific-1d2a9e0f4f0b8bc3 | scientific | ncb-claim-0cd6c8ea82eb22a6 | {
"claim_id": "ad_aging_q038",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "OASIS3_fMRI_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "2",
"control": "0",
"var": "dx"
},
"outcome": "fc_fc_Cont_Default_z",
"predictor": "dx",
... | 1d2a9e0f4f0b8bc35fe53e1c18e110f8965f0dbb01897b1aba0cbe4d193e5821 | ready | fMRI-FC | 1d2a9e0f4f0b8bc35fe53e1c18e110f8965f0dbb01897b1aba0cbe4d193e5821 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q038",
"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, is diagnosis code 2 associated with lower fc_fc_Cont_Default_z than diagnosis code 0, adjusting for age and sex? | 8b20c9be920cca4814ccd228983288411d29bafc0dc4294a7aee1addbfc71e56 | ncb-scientific-1d2a9e0f4f0b8bc3 | 49f6600c1420b9f947402850010bcf48b2bedfe8b4dd28bb185500411179a15f | ncb-sem-0cd6c8ea82eb22a6 | ad_aging | [
"ncb21-task-539310d53e198d22"
] |
[
"szjh_symptom_cognition"
] | aligned_with_safety_augmentation | ncb-scientific-1d647c3ac871d92d | scientific | ncb-claim-2eecc281ef7ad433 | {
"claim_id": "szjh_symptom_cognition",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "JH_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_",
"predictor": "confi... | 1d647c3ac871d92db5716b0119f805a94946d0e1cf26c683be44b13e0777834b | ready | fMRI-FC | 1d647c3ac871d92db5716b0119f805a94946d0e1cf26c683be44b13e0777834b | [
{
"prior_label": "candidate_unknown",
"source_citation": "[VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "szjh_symptom_cognition",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "psychosis"
}
] | For schizophrenia symptom cognition anchor in psychosis, using SZ_JH as discovery and COBRE/FBIRN as replication, test the claim with expected direction two_sided and adjust for age;sex when available. | 6d7d02b1972c0278dbd2f8b53e899938f076fa6dd4ba949f65a98971918b1218 | ncb-scientific-1d647c3ac871d92d | c3b3bcff663e32f08fdb07cee293fab79106386291cf4a5a2bd7a979999b68eb | ncb-sem-2eecc281ef7ad433 | psychosis | [
"ncb21-task-96088c72fd109620"
] |
[
"psychosis_q041"
] | aligned | ncb-scientific-1d82194a9c52b4fa | scientific | ncb-claim-f6629357fa60f0d6 | {
"claim_id": "psychosis_q041",
"covariates": [],
"discovery_cohort": "ChineseSZ_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_mean_positive",
"predictor": "confirm_dx",
"region_set":... | 1d82194a9c52b4fa5071ac4e2534c4dcf3c59a3ec7bc0186d85580ca6cd85358 | ready | fMRI-FC | 1d82194a9c52b4fa5071ac4e2534c4dcf3c59a3ec7bc0186d85580ca6cd85358 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q041",
"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_positive directionally consistent with lower values in SZ in unadjusted dx-only comparisons with no covariates? | 867c969c3d97b711092991763d36949ea8dbefe84489dd86581ae4a78ea7f166 | ncb-scientific-1d82194a9c52b4fa | 88fca814e931735a6e7b19bbb6f8273b6e490ca40544d48dfd429283bcbb7dae | ncb-sem-f6629357fa60f0d6 | psychosis | [
"ncb21-task-9051660984b1ecd9"
] |
[
"asd_q034"
] | aligned_with_safety_augmentation | ncb-scientific-1f13a7aee9fc1c7d | scientific | ncb-claim-aad0f0b098d0ebad | {
"claim_id": "asd_q034",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_SalVentAttn_SomMot",
"predict... | 1f13a7aee9fc1c7dc1187efe86c3068be853653eb4050183fac5bcb492b8bbe3 | ready | fMRI-FC | 1f13a7aee9fc1c7dc1187efe86c3068be853653eb4050183fac5bcb492b8bbe3 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q034",
"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_SomMot differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | a7582fe59f3c1108a53f9b0392fd54e28cdc347df002104cb19fb7806e102792 | ncb-scientific-1f13a7aee9fc1c7d | 5c76af45d23092631c50ee88c6fcd4b5d65aa5ec8d2737b6a44a22dd566283f5 | ncb-sem-aad0f0b098d0ebad | asd | [
"ncb21-task-0a70018376a8881b"
] |
[
"asd_q042"
] | aligned_with_safety_augmentation | ncb-scientific-1f634e71dd689f9b | scientific | ncb-claim-ff10f2963ca8353f | {
"claim_id": "asd_q042",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Cont_Limbic_z",
"predictor": ... | 1f634e71dd689f9bf628ab2462201c44d5996f29424ad3bb244eae08906e402b | ready | fMRI-FC | 1f634e71dd689f9bf628ab2462201c44d5996f29424ad3bb244eae08906e402b | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q042",
"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_Limbic_z differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 56db717c9ee711689f24e42842466bbde7048f7ace307c60d095601ab786f3b4 | ncb-scientific-1f634e71dd689f9b | 8df9db1c1f1f458cda7d70223932d137259e4ff86d92ce495b1047d2a9b51fb9 | ncb-sem-ff10f2963ca8353f | asd | [
"ncb21-task-3d093bb7bad5924a"
] |
[
"adhd_q026"
] | repairable_contract | ncb-scientific-1f683beae6c7e55d | scientific | ncb-claim-9610f92c93cdb893 | {
"claim_id": "adhd_q026",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "1",
"control": "0",
"var": "dx"
},
"outcome": "fc_fc_Cont_SalVentAttn_z",
"predictor": "dx",
... | 19edb47c02cb0036902de8292dde8fb20838f917fb06cdbf7e5e5eba5b6d0add | ready | fMRI-FC | 1f683beae6c7e55d7bddcf82f4a7904b91a09d5c9ed58f28b3c66a3f9095c2e5 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q026",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ADHD200_DISC, does ADHD-combined type (dx=1) versus control (dx=0) show altered Control-Salience/VentralAttention connectivity (fc_fc_Cont_SalVentAttn_z), with no additional covariates, and is the association replicated in ADHD200_REP? | ee2a6df5254c62baacc392591ef05884c78e53b28a133f5c94d9b2cdba1ed90d | ncb-scientific-1f683beae6c7e55d | 18d859f40fdf7646bee33474026662ecb765b06c6d476d0a7566991092f31018 | ncb-sem-9610f92c93cdb893 | adhd | [
"ncb21-task-6c02f426814e0028"
] |
[
"fbirn_sz_cognition"
] | aligned_with_safety_augmentation | ncb-scientific-1f9b7b9991250bd7 | scientific | ncb-claim-a189ecfd7f696ffb | {
"claim_id": "fbirn_sz_cognition",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "FBIRN_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_",
"predictor": "confir... | 1f9b7b9991250bd79fc9033f2a5b7c572c78ef720a49515d03a284e3899b70d3 | ready | fMRI-FC | 1f9b7b9991250bd79fc9033f2a5b7c572c78ef720a49515d03a284e3899b70d3 | [
{
"prior_label": "candidate_unknown",
"source_citation": "[VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "fbirn_sz_cognition",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "psychosis"
}
] | For schizophrenia cognition anchor in psychosis, using FBIRN as discovery and COBRE/SZ_JH as replication, test the claim with expected direction two_sided and adjust for age;sex when available. | 9daf31b295166f85b24a8dd69d534c7b295991f845021cb2a8b9bc20394544fa | ncb-scientific-1f9b7b9991250bd7 | aa700b11ddda8dc831c0f750e917ea5144072f1c6043e2662d40dc08e051eb42 | ncb-sem-a189ecfd7f696ffb | psychosis | [
"ncb21-task-1cd56ef2b757f69d"
] |
[
"asd_q050"
] | aligned_with_safety_augmentation | ncb-scientific-206dd8d45a4d9d89 | scientific | ncb-claim-b4a8d5bfb3357c42 | {
"claim_id": "asd_q050",
"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_z",
"predictor... | 206dd8d45a4d9d891eb2644f5acdf1aeb9a4d894209c6c0c3142e2a74481d2e3 | ready | fMRI-FC | 206dd8d45a4d9d891eb2644f5acdf1aeb9a4d894209c6c0c3142e2a74481d2e3 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q050",
"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_z differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 9a8b3ada48613ae7ef76b281498919c153b6d6f8b7b95da20a56fc642bf02251 | ncb-scientific-206dd8d45a4d9d89 | 6154ed998fd488938d7d3abf13ad63488d92cef6d199bf24bb49ae449b341e3e | ncb-sem-b4a8d5bfb3357c42 | asd | [
"ncb21-task-a9bd3530545a0c3f"
] |
[
"ad_aging_q033"
] | aligned_with_safety_augmentation | ncb-scientific-2290e2c4612f7606 | scientific | ncb-claim-35771173cccac1ce | {
"claim_id": "ad_aging_q033",
"covariates": [
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "negative",
"group": null,
"outcome": "smri_wholebrain",
"predictor": "age",
"region_set": null,
"type": "association",
"unit": "scalar"
... | 2290e2c4612f7606a50c7a7de849ae8a00aa0d67c1cb0d41adda7d27c1cec0f3 | ready | sMRI | 2290e2c4612f7606a50c7a7de849ae8a00aa0d67c1cb0d41adda7d27c1cec0f3 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q033",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In ADNI_DISC, among CN participants, is older age associated with lower smri_wholebrain, adjusting for sex? | 25c46966a02fefcc882cd492f918798f98d9d71b135b2cc888744d40d8bc6252 | ncb-scientific-2290e2c4612f7606 | 715a652ee2118f7897596a57d5b11b6dcee84908159854c5ef9c6d9dae750dbe | ncb-sem-35771173cccac1ce | ad_aging | [
"ncb21-task-a28ed8ee092fce61"
] |
[
"sex_smri_abcd_hcp"
] | ambiguous_unresolved | ncb-scientific-22dfa8274c94ef0c | scientific | ncb-claim-20abebdf593c9583 | {
"claim_id": "sex_smri_abcd_hcp",
"covariates": [
"age",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "F",
"control": "M",
"var": "sex"
},
"outcome": "fc_fc_",
"predictor": "sex",
"region_set": null,
... | 22dfa8274c94ef0ca691e86a84e9cb6284654e84187bed2471b78d817f606736 | ambiguous_unresolved | fMRI-FC | 22dfa8274c94ef0ca691e86a84e9cb6284654e84187bed2471b78d817f606736 | [
{
"prior_label": "candidate_unknown",
"source_citation": "Ritchie et al. 2018 Cerebral Cortex",
"source_collection": "legacy_scientific",
"source_id": "sex_smri_abcd_hcp",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "normative_f... | For sex difference in eTIV-adjusted regional volume in sMRI, using ABCD as discovery and HCP as replication, test the claim with expected direction two_sided and adjust for age;eTIV;site required when available. | f8001f9638296fa035396584e9210d4a5da27ed329a22784386b2193305946b6 | ncb-scientific-22dfa8274c94ef0c | a99738add375cd15e91bbcf837d310c2195e1c4e458439a50eed7841a10f4a5a | ncb-sem-20abebdf593c9583 | normative_fmri | [] |
[
"underpowered_adhd_site_adhd200"
] | aligned | ncb-scientific-2387b1cf701bf90b | scientific | ncb-claim-7ccfc692bc2f2980 | {
"claim_id": "underpowered_adhd_site_adhd200",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_",
"pr... | 2387b1cf701bf90b90bf70f3c5c04dbfec0b9625401e8f33be140f88ea2a6f70 | ready | fMRI-FC | 2387b1cf701bf90b90bf70f3c5c04dbfec0b9625401e8f33be140f88ea2a6f70 | [
{
"prior_label": "fragile",
"source_citation": "ADHD-200 Consortium 2012 [VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "underpowered_adhd_site_adhd200",
"source_mode": "inventory",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "adhd"
}
] | For ADHD small-sample fragile FC stress in fMRI-FC, using ADHD200 as discovery and ADHD200 as replication, test the claim with expected direction two_sided and adjust for age;sex;site when available. | 052d4271cd94696fdf3be177c92ef98b16de9bc3d135bdacfb767bed7ea640a3 | ncb-scientific-2387b1cf701bf90b | eb70d794309c5a56346d53426e0ba6179eb188ff1fc747fc5489de6a35af45a6 | ncb-sem-7ccfc692bc2f2980 | adhd | [
"ncb21-task-764317d4977b6d70"
] |
[
"psychosis_q030"
] | aligned | ncb-scientific-23a83dcb8dd0287e | scientific | ncb-claim-b158ae5ae8b91424 | {
"claim_id": "psychosis_q030",
"covariates": [],
"discovery_cohort": "FBIRN_REP",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_mean_abs",
"predictor": "confirm_dx",
"region_set": null,
... | 23a83dcb8dd0287e82e81be378cb004bce79a5325cd73ba2c55edfee8113d52d | ready | fMRI-FC | 23a83dcb8dd0287e82e81be378cb004bce79a5325cd73ba2c55edfee8113d52d | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q030",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In FBIRN_REP, do SZ participants differ from HC participants in fc_mean_abs in an unadjusted dx-only comparison with no covariates? | 171a3cc3dbdf8c1b7c23a009735fbf4287cfb98beaf7f8702212c8a20b5ee413 | ncb-scientific-23a83dcb8dd0287e | b2745ce53c4e23c0e4ff789825737a4d51031543509f97fba574aec6415bc8b9 | ncb-sem-b158ae5ae8b91424 | psychosis | [
"ncb21-task-9e6e0c742f90a6aa"
] |
[
"psychosis_q033"
] | aligned | ncb-scientific-23b8d8c0265298fd | scientific | ncb-claim-f6629357fa60f0d6 | {
"claim_id": "psychosis_q033",
"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... | 23b8d8c0265298fd242715da197614417003ea5efbb70bf6b292cb27ea990f0d | ready | fMRI-FC | 23b8d8c0265298fd242715da197614417003ea5efbb70bf6b292cb27ea990f0d | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q033",
"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_mean_positive directionally consistent with lower values in SZ in unadjusted dx-only comparisons with no covariates? | 8ad7a82f158a2d7ce90d1f4b1e40fa635898ef732422facd8fee869099265a14 | ncb-scientific-23b8d8c0265298fd | 7fedec7ed8e4dc3d05cd7dadb1c86170d525ed083ff3d48f470d3581a11a3a16 | ncb-sem-f6629357fa60f0d6 | psychosis | [
"ncb21-task-e410009c1d1936d2"
] |
[
"adhd_q039"
] | aligned | ncb-scientific-23d61a93cc5dbec1 | scientific | ncb-claim-ef2251f9690dfabc | {
"claim_id": "adhd_q039",
"covariates": [],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Limbic_Vis_z",
"predictor": "confirm_dx",
"region_set": nul... | 23d61a93cc5dbec1201748d85be106d526d3eb4bc7a44e09052d181d46ae110f | ready | fMRI-FC | 23d61a93cc5dbec1201748d85be106d526d3eb4bc7a44e09052d181d46ae110f | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q039",
"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 Limbic-Visual connectivity (fc_fc_Limbic_Vis_z), with no additional covariates? | 443dbcf9d09f16243dbaca1f851098003f4ae5640f251b4c1b5a0812be068eb3 | ncb-scientific-23d61a93cc5dbec1 | c4b7c90df68fab68b74f9766d988c1577a56593f040d65224e3188511190504b | ncb-sem-ef2251f9690dfabc | adhd | [
"ncb21-task-fd94e34ea1090527"
] |
[
"asd_fc_abide2_abcd"
] | aligned | ncb-scientific-23e29f207b2ce118 | scientific | ncb-claim-6ba39a227919b4ae | {
"claim_id": "asd_fc_abide2_abcd",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_",
"predictor": "co... | 23e29f207b2ce118eb82e467460690afed63ed3a697ca7d5dfef098e03af6fdd | ready | fMRI-FC | 23e29f207b2ce118eb82e467460690afed63ed3a697ca7d5dfef098e03af6fdd | [
{
"prior_label": "fragile",
"source_citation": "Haar et al. 2016",
"source_collection": "legacy_scientific",
"source_id": "asd_fc_abide2_abcd",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "asd"
}
] | For ASD case-control FC difference in fMRI-FC, using ABIDE2 as discovery and ABCD as replication, test the claim with expected direction two_sided and adjust for age;sex;site when available. | 11ae38191c89ac95c09ea91b8f2be1345ff0c3caca32d471c878afa4fb058a31 | ncb-scientific-23e29f207b2ce118 | c2dc7c0d13f22cd45cb6cd03fbc2fad6bcb0106a48b580e2b97b0e6e6acad1bb | ncb-sem-6ba39a227919b4ae | asd | [
"ncb21-task-e21152f351d0222a"
] |
[
"ad_aging_q042",
"ad_aging_q049"
] | aligned_with_safety_augmentation | ncb-scientific-24de654ccd87dce2 | scientific | ncb-claim-bbd81a01bf8a7545 | {
"claim_id": "ad_aging_q042",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "OASIS3_fMRI_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "2",
"control": "0",
"var": "dx"
},
"outcome": "fc_fc_Default_SalVentAttn_z",
"predictor":... | 24de654ccd87dce2402ee3e06841e2aa84bb5b939fe17e0a081e3e3fe8dd97e2 | ready | fMRI-FC | 24de654ccd87dce2402ee3e06841e2aa84bb5b939fe17e0a081e3e3fe8dd97e2 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q042",
"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_SalVentAttn_z differ between diagnosis code 2 and diagnosis code 0, adjusting for age and sex? | ae0a6b3718b50be78aae2dfd1414ea0c8575b50352ce883304c031787c5bd369 | ncb-scientific-24de654ccd87dce2 | e7a9ac20d2245d82a20bdc2ce9c5fe26458b26b755f666408e3e8f574fbcbe91 | ncb-sem-bbd81a01bf8a7545 | ad_aging | [
"ncb21-task-848513937ba8e347"
] |
[
"normative_fmri_008"
] | aligned_with_safety_augmentation | ncb-scientific-25e7ef2da7f86162 | scientific | ncb-claim-6b697f335a6513a1 | {
"claim_id": "normative_fmri_008",
"covariates": [
"sex",
"phen_fluid_intelligence",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
"direction": "two_sided",
"group": null,
"outcome": "fc_fc_SomMot_Vis_z",
"predictor": "age",
"region_set": null,
"type": "associati... | 25e7ef2da7f86162e17db3c87a2a749b660109283b81fcff23254154c04df77b | ready | fMRI-FC | 25e7ef2da7f86162e17db3c87a2a749b660109283b81fcff23254154c04df77b | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_008",
"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 altered connectivity between somatomotor and visual networks (fc_fc_SomMot_Vis_z), adjusting for sex and cognition? | a8a905b9783b229f4ecd04dd95f62381cccb2c1461d6de7a1fb057aa329dc761 | ncb-scientific-25e7ef2da7f86162 | 24a1fc94b0198ab1e628a030ca21686ce99371176d0dffce4015fc8e04973543 | ncb-sem-6b697f335a6513a1 | normative_fmri | [
"ncb21-task-0c8a0e13f677ff47"
] |
[
"psychosis_q002"
] | aligned_with_safety_augmentation | ncb-scientific-266504b3d4e53721 | scientific | ncb-claim-893ac2c9b485762f | {
"claim_id": "psychosis_q002",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "BSNIP2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_mean_abs",
"predictor": "c... | 266504b3d4e53721e07a0d77932a5254a3379c3ddf34b0dc44aeea4c4b4cb67d | ready | fMRI-FC | 266504b3d4e53721e07a0d77932a5254a3379c3ddf34b0dc44aeea4c4b4cb67d | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q002",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In BSNIP2_DISC, do SZ participants differ from HC participants in fc_mean_abs in an unadjusted two-group comparison using dx as the only predictor and no covariates? | 30fec9a8456c7a1a81f49d28b613b729ca6541e03089a86ccdeeae00b8686a65 | ncb-scientific-266504b3d4e53721 | 2a067805cdcdcba58086ac64f1b7fd2a26ab2cadc95417359d47b7cd637e2146 | ncb-sem-893ac2c9b485762f | psychosis | [
"ncb21-task-4e76d5dc01d8b134"
] |
[
"normative_fmri_049"
] | ambiguous_unresolved | ncb-scientific-2a373f053e882288 | scientific | ncb-claim-31c24c08836a9834 | {
"claim_id": "normative_fmri_049",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "positive",
"group": null,
"outcome": "fc_fc_DorsAttn_DorsAttn_z",
"predictor": "phen_fluid_composite",
"region_set": null,
"type": "assoc... | 2a373f053e8822881dab40e7c242d78c2c729156c584d8a69c506f7d761a324d | ambiguous_unresolved | fMRI-FC | 2a373f053e8822881dab40e7c242d78c2c729156c584d8a69c506f7d761a324d | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_049",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | Across ABCD_DISC, HCP_DISC, and UKB_DISC, with replication in ABCD_REP, HCP_REP, and UKB_REP, is higher cognition associated with higher dorsal-attention within-network connectivity (fc_fc_DorsAttn_DorsAttn_z), adjusting for age and sex within each cohort and restricting ABCD to dx=0.0? | afa512044cc1bdb393d75cd9911a6c922a49288cb8ebde8b3736a98953668fca | ncb-scientific-2a373f053e882288 | aedb9ea514568ef82165a89cca04df0ae9f9b2250184eaf57da28bdff1dac609 | ncb-sem-31c24c08836a9834 | normative_fmri | [] |
[
"normative_fmri_028"
] | aligned_with_safety_augmentation | ncb-scientific-2a5d5bc83ab86134 | scientific | ncb-claim-96e4627e73973fdd | {
"claim_id": "normative_fmri_028",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "HCP_Aging_DISC",
"estimand": {
"direction": "negative",
"group": null,
"outcome": "fc_fc_Default_DorsAttn_z",
"predictor": "phen_fluid_composite",
"region_set": null,
"type": "a... | 2a5d5bc83ab8613499aab2ac0e974ec72a4dd0f1099d99320ee8a8e449b683b6 | ready | fMRI-FC | 2a5d5bc83ab8613499aab2ac0e974ec72a4dd0f1099d99320ee8a8e449b683b6 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_028",
"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 lower default-mode to dorsal-attention connectivity (fc_fc_Default_DorsAttn_z), adjusting for age and sex? | 639e36b3410fa5658b9c71b9e79b3702103c77666434efc4e28044c4800a890c | ncb-scientific-2a5d5bc83ab86134 | 38559bfcf568c4b651191314192f415b7205dbb1da22de2d0db1b72031bb3bc2 | ncb-sem-96e4627e73973fdd | normative_fmri | [
"ncb21-task-8d9cde7a88a32741"
] |
[
"pubmed_39013249_pmid39013249_age_ifg_vatl_semantic_fc"
] | aligned | ncb-scientific-2aa338cf718c206f | scientific | ncb-claim-af821d5180b2cebb | {
"claim_id": "pubmed_39013249_pmid39013249_age_ifg_vatl_semantic_fc",
"covariates": [
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "negative",
"group": null,
"outcome": "fc_fc_",
"predictor": "age",
"region_set": "fMRI_functional_connectivity",
... | 2aa338cf718c206f1f58b7a786bbc5a49d2a0f094fde38b832b7d6280ab18b62 | ready | fMRI-FC | 2aa338cf718c206f1f58b7a786bbc5a49d2a0f094fde38b832b7d6280ab18b62 | [
{
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"source_id": "pubmed_39013249_pmid39013249_age_ifg_vatl_semantic_fc",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-... | For literature-grounded age group or age, with young group compared against older participants effect on age moderation of semantic-network functional connectivity in fMRI-FC, using ABCD as discovery and HCP_Aging as replication, test the claim with expected direction negative and adjust for age;sex;site when available... | 01c2593771478f06c89a5b94078f54495faa6fdeea493d19aa9a9601a0a7e6f0 | ncb-scientific-2aa338cf718c206f | 0d675772c5c9b60cb38690deb829660d3060ad6eb6690dae706f1c4433610741 | ncb-sem-af821d5180b2cebb | normative_fmri | [
"ncb21-task-cbc18e184afcce9b"
] |
[
"asd_q005"
] | aligned_with_safety_augmentation | ncb-scientific-2aadc4e4de851c0e | scientific | ncb-claim-bcd31e36404b748e | {
"claim_id": "asd_q005",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE1_HOLDOUT",
"estimand": {
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"group": {
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"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_mean_abs",
"predictor": "confi... | 2aadc4e4de851c0e2f50ccae550c5f5b5318d46843b677d9fa6b9b8ee0ab5262 | ready | fMRI-FC | 2aadc4e4de851c0e2f50ccae550c5f5b5318d46843b677d9fa6b9b8ee0ab5262 | [
{
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"source_id": "asd_q005",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "asd"
}
] | In ABIDE1_HOLDOUT, is fc_mean_abs lower in ASD than HC participants using dx as the predictor and no additional covariates? | f8e28f46161621085facc3c7bf340714e8f5bfc7229f2a8983b04278530a681d | ncb-scientific-2aadc4e4de851c0e | bea818338f288e1e2e3be69ccef4d0d237cff3db3e178da086c96eef7ebb6394 | ncb-sem-bcd31e36404b748e | asd | [
"ncb21-task-a2c95f837064e61f"
] |
[
"adhd_q022"
] | non_executable | ncb-scientific-2b20954defb2352a | scientific | ncb-claim-12dcb0029dea3ff4 | {
"claim_id": "adhd_q022",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_DorsAttn",
"predicto... | 2b20954defb2352adc7058f253db893e9e15a670abc51dcc80c24098106801e4 | non_executable | fMRI-FC | 2b20954defb2352adc7058f253db893e9e15a670abc51dcc80c24098106801e4 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
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"source_id": "adhd_q022",
"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) versus control (dx=0) show lower Default-DorsalAttention connectivity (fc_fc_Default_DorsAttn_z), with no additional covariates, and does this direction replicate in ADHD200_REP? | ca3f560c7a0a50ccaaba1887b132b43d790be7c4e01a2d583b5c06a75f1ebdfd | ncb-scientific-2b20954defb2352a | 6bacdd5d43906b4ef27d5fcf7b9562e6390a568916d8158f37a028f772f8f041 | ncb-sem-12dcb0029dea3ff4 | adhd | [] |
[
"adhd_q006"
] | aligned | ncb-scientific-2b36f4bbee998e56 | scientific | ncb-claim-d2bebe5a15f8a56a | {
"claim_id": "adhd_q006",
"covariates": [],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Cont_Cont_z",
"predictor": "confirm_dx",
"region_set": null,
... | 2b36f4bbee998e56371c67ff67d3eb58cb82ee7ec32ac324f688db7f55016f64 | ready | fMRI-FC | 2b36f4bbee998e56371c67ff67d3eb58cb82ee7ec32ac324f688db7f55016f64 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q006",
"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 within-Control connectivity (fc_fc_Cont_Cont_z), with no additional covariates, and does the same direction replicate in ABCD_REP? | 5935718036d1c3803e4f95351b8124975483e3e694e69b22c278f4379dd71738 | ncb-scientific-2b36f4bbee998e56 | 7b9eff43a99328328e33570cbe7321b82e129dfe5d9c6d6b0a4f2845fa24ce6a | ncb-sem-d2bebe5a15f8a56a | adhd | [
"ncb21-task-60f7a3ceb0c0d995"
] |
[
"ad_aging_q024"
] | aligned_with_safety_augmentation | ncb-scientific-2b8c1957240b2b85 | scientific | ncb-claim-1aa85065ed1b8153 | {
"claim_id": "ad_aging_q024",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "OASIS3_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "smri_wholebrain",
"... | 2b8c1957240b2b852adfb606d88c4a9eec86d9078c3aac22a990d5bdbcd1b36c | ready | sMRI | 2b8c1957240b2b852adfb606d88c4a9eec86d9078c3aac22a990d5bdbcd1b36c | [
{
"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, with OASIS3_REP as a replication cohort, is Dementia associated with lower smri_wholebrain than CN, adjusting for age and sex? | da3fc0b5a32c241d884eb531ccabf0d99b59db475b22234bbb2901c8d57ee28c | ncb-scientific-2b8c1957240b2b85 | 4c359022a7d66ce9cf434b746f612f69f3d30de32a31ee2a01092a69063df95c | ncb-sem-1aa85065ed1b8153 | ad_aging | [
"ncb21-task-a9121137ac022382"
] |
[
"normative_fmri_004"
] | aligned_with_safety_augmentation | ncb-scientific-2da7ae8514465754 | scientific | ncb-claim-056dec378820f0e1 | {
"claim_id": "normative_fmri_004",
"covariates": [
"sex",
"phen_fluid_intelligence",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
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"group": null,
"outcome": "fc_fc_Default_DorsAttn_z",
"predictor": "age",
"region_set": null,
"type": "asso... | 2da7ae8514465754088a9e1b59a38f021dec2a48c9ba27749492356ee704e952 | ready | fMRI-FC | 2da7ae8514465754088a9e1b59a38f021dec2a48c9ba27749492356ee704e952 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_004",
"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 the default-mode and dorsal-attention networks (fc_fc_Default_DorsAttn_z), adjusting for sex and cognition? | e901b905a0a8a04497a5aa6b51dc1ec627ded00b08b0dc9b702170661ed9e948 | ncb-scientific-2da7ae8514465754 | f97719647507bc92d8ea51aa00b032788d435a2a086cbc109cecb5a36d9e53dd | ncb-sem-056dec378820f0e1 | normative_fmri | [
"ncb21-task-46aa865267479f06"
] |
[
"adhd_q028"
] | repairable_contract | ncb-scientific-2dab47018aa41786 | scientific | ncb-claim-3a434f7a811e7a88 | {
"claim_id": "adhd_q028",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "3",
"control": "0",
"var": "dx"
},
"outcome": "fc_fc_Cont_SomMot_z",
"predictor": "dx",
"regi... | 716ac41c979ca4a5751727c9e8aca547707bebd52f5ebce962a7318706feddd3 | ready | fMRI-FC | 2dab47018aa41786cae09c1b75eec5743001054db5b718ac2dcc5e8c57db09d5 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q028",
"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 altered Control-Somatomotor connectivity (fc_fc_Cont_SomMot_z), with no additional covariates, and is the same direction observed in ADHD200_REP? | a86343caa5bb09eb59f77a3aa266fac7e2750127055bf382d2e6cc3ae5bace9c | ncb-scientific-2dab47018aa41786 | 05420e04829a4c57c94596294d8a9197d86642557c05992503b632a44b64024a | ncb-sem-3a434f7a811e7a88 | adhd | [
"ncb21-task-5943e26730bd798a"
] |
[
"ad_aging_q035"
] | aligned_with_safety_augmentation | ncb-scientific-2dcda273dbedc219 | scientific | ncb-claim-4bfef3e6f895651e | {
"claim_id": "ad_aging_q035",
"covariates": [
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "negative",
"group": null,
"outcome": "pet_fdg_suvr",
"predictor": "age",
"region_set": null,
"type": "association",
"unit": "scalar"
},... | 2dcda273dbedc219ed9d5d8682aa85ac5f279a5b7efa0b335d1568599836b508 | ready | PET | 2dcda273dbedc219ed9d5d8682aa85ac5f279a5b7efa0b335d1568599836b508 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
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"source_id": "ad_aging_q035",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In ADNI_DISC, among CN participants, is older age associated with lower pet_fdg_suvr, adjusting for sex? | 44bbbe483758003ad88a2ae6908f5a2e6f1ce531ef77a2cf316f851d302a6ae7 | ncb-scientific-2dcda273dbedc219 | 6400ad985c0db87a87969e031f38a853c617ca663f4f14bbf8b58c3c3bed7a69 | ncb-sem-4bfef3e6f895651e | ad_aging | [
"ncb21-task-d48e7b728a9c92fa"
] |
[
"normative_fmri_010"
] | aligned_with_safety_augmentation | ncb-scientific-2ddc5b5c1ef8b93a | scientific | ncb-claim-155bd22863afb6e2 | {
"claim_id": "normative_fmri_010",
"covariates": [
"sex",
"phen_fluid_intelligence",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
"direction": "two_sided",
"group": null,
"outcome": "fc_fc_Limbic_Limbic_z",
"predictor": "age",
"region_set": null,
"type": "associ... | 2ddc5b5c1ef8b93a0a9b11866e80d51afc5a4f22daaf095759d71baeefc4e50b | ready | fMRI-FC | 2ddc5b5c1ef8b93a0a9b11866e80d51afc5a4f22daaf095759d71baeefc4e50b | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_010",
"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 altered limbic within-network connectivity (fc_fc_Limbic_Limbic_z), adjusting for sex and cognition? | d95acff18dec0eb0cc02e157b5c1d9312cc99ab507e81acc1c62c9c5446cbd61 | ncb-scientific-2ddc5b5c1ef8b93a | 5ed73df37eaa39c9cbcc584b4ef6d59899f34627341c72d82f1155e4e05cc134 | ncb-sem-155bd22863afb6e2 | normative_fmri | [
"ncb21-task-e69cb146fb7350c6"
] |
[
"asd_q023"
] | aligned_with_safety_augmentation | ncb-scientific-2e389c7806389508 | scientific | ncb-claim-bbeb196a4b73f672 | {
"claim_id": "asd_q023",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_Vis",
"predictor": "c... | 2e389c780638950829799320349d8009aea6c3e9e69be08b1982e12b5b434c52 | ready | fMRI-FC | 2e389c780638950829799320349d8009aea6c3e9e69be08b1982e12b5b434c52 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q023",
"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_Vis differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | fefefcfb47a19cddc7e1c8d9a505edb76498995c8d7234c8be0d2612f7f85b96 | ncb-scientific-2e389c7806389508 | f09200a182fcbc452b9265fe395f6be18cfd9cb6c3b6ec7a566a33fd78f4e050 | ncb-sem-bbeb196a4b73f672 | asd | [
"ncb21-task-2256c13eb330feb3"
] |
[
"asd_q026"
] | aligned_with_safety_augmentation | ncb-scientific-2f6ce6fa5ea95eeb | scientific | ncb-claim-34c3c06b3308a06e | {
"claim_id": "asd_q026",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_DorsAttn_SalVentAttn",
"predi... | 2f6ce6fa5ea95eeb785ac239b4ff56b118d9d5b5b0e1c76df4fda92bdb52f08c | ready | fMRI-FC | 2f6ce6fa5ea95eeb785ac239b4ff56b118d9d5b5b0e1c76df4fda92bdb52f08c | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q026",
"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_SalVentAttn differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 1cc181ed04ce94ae3a8a35cef9226410210ba71a00ccbecba42601ce195129e9 | ncb-scientific-2f6ce6fa5ea95eeb | 54d4ece16eec4e787c8b8c66a96b963b0a5ca6a5fef506a99c232adfc0fef0ab | ncb-sem-34c3c06b3308a06e | asd | [
"ncb21-task-c8004841f6d71d20"
] |
[
"adhd_q050"
] | aligned | ncb-scientific-30329250c399e0e1 | scientific | ncb-claim-01b92be6f309d0ae | {
"claim_id": "adhd_q050",
"covariates": [],
"discovery_cohort": "ABCD_REP",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_Default_z",
"predictor": "confirm_dx",
"region_set": nu... | 30329250c399e0e19f0099ec82e0f1abd36cca45c0178fcdc6800cf75650db9e | ready | fMRI-FC | 30329250c399e0e19f0099ec82e0f1abd36cca45c0178fcdc6800cf75650db9e | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q050",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | Across ABCD_REP and ADHD200_REP, using each cohort's available ADHD-control coding separately (ABCD dx=1.0 vs 0.0 excluding missing dx; ADHD200 dx in {1,2,3} vs 0), is the ADHD association with within-Default connectivity (fc_fc_Default_Default_z) directionally consistent, with no additional covariates? | ad29c03c753cb54fc63c9e2bb9e55406d97ceb5211366e8a3fab4dbdf61828c4 | ncb-scientific-30329250c399e0e1 | 5deeec04029a5eef363857c98860bb794bc22a3e4c16594cf5a108d8aa6a88ae | ncb-sem-01b92be6f309d0ae | adhd | [
"ncb21-task-4a3386676b1444ee"
] |
[
"asd_region_abide2_abcd"
] | ambiguous_unresolved | ncb-scientific-30a7ce77696eccff | scientific | ncb-claim-909af75e142f1ce1 | {
"claim_id": "asd_region_abide2_abcd",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_",
"predictor":... | 30a7ce77696eccffd0fadcf45c9e34ebb6e058cf0f57749c5a1f4fdca944a681 | ambiguous_unresolved | fMRI-FC | 30a7ce77696eccffd0fadcf45c9e34ebb6e058cf0f57749c5a1f4fdca944a681 | [
{
"prior_label": "fragile",
"source_citation": "Haar et al. 2016",
"source_collection": "legacy_scientific",
"source_id": "asd_region_abide2_abcd",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "asd"
}
] | For ASD case-control fMRI regional difference in fMRI-region, using ABIDE2 as discovery and ABCD as replication, test the claim with expected direction two_sided and adjust for age;sex;site when available. | 337ca8563ed7de13803ace320dcc42ba0147ff9ea5f53d87a1fae5441e27a864 | ncb-scientific-30a7ce77696eccff | 2006bb692033df86e2570f546c489cb3a8dada025bdd9716b0e0ab063432331c | ncb-sem-909af75e142f1ce1 | asd | [] |
[
"asd_q017"
] | aligned_with_safety_augmentation | ncb-scientific-30f73b540a076be8 | scientific | ncb-claim-27d3f222f4588508 | {
"claim_id": "asd_q017",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Cont_Vis",
"predictor": "conf... | 30f73b540a076be8877cbf58acf8e237d4ffaf8c5fa00b91f350eced56d4fe50 | ready | fMRI-FC | 30f73b540a076be8877cbf58acf8e237d4ffaf8c5fa00b91f350eced56d4fe50 | [
{
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] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_Cont_Vis differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | e0a1a693139df854df77ff104e7081d5c005c2a2154d6b8035a08cbf2efaa53e | ncb-scientific-30f73b540a076be8 | f4104e63d630e576877bbe4cee633b59f2b1f39689eb5e3f6f5386d6ec3f3058 | ncb-sem-27d3f222f4588508 | asd | [
"ncb21-task-d75464cda8ffebe3"
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[
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"predictor"... | 31990e646f54d4e694348212341524808d583a3747736b6aec3da643ffe1484e | ready | fMRI-FC | 31990e646f54d4e694348212341524808d583a3747736b6aec3da643ffe1484e | [
{
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] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_DorsAttn_Limbic differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 1eb898e41a58e9b4e47896dc4fa553b65463e9ab42a8ddb8e9d8fe4712d6c7cb | ncb-scientific-31990e646f54d4e6 | 3f03bcf22dcfa386a68ce52bc901336e31dc38d8fdbc95390bd6c1af52281d6a | ncb-sem-1caf036f3cfc92db | asd | [
"ncb21-task-d1871ce3feb49f3f"
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[
"normative_fmri_047"
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"claim_id": "normative_fmri_047",
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"discovery_cohort": "ABCD_DISC",
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"type": "association",... | 319a1462bfdbc89d930616a30480c076432748e170281465818679f30546de86 | ready | fMRI-FC | 319a1462bfdbc89d930616a30480c076432748e170281465818679f30546de86 | [
{
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"ncb21-task-22401568a4a4fe75"
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[
"asd_q006"
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"discovery_cohort": "ABIDE1_HOLDOUT",
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{
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] | In ABIDE1_HOLDOUT, is fc_mean_positive lower in ASD than HC participants using dx as the predictor and no additional covariates? | c830e5fb353698e8a17b0a32cab1bb7509963796b8a5ffc88905bb97f7be9a15 | ncb-scientific-31ff42faa1d10211 | 259cadae0fa2a80748b62769887a21528bb35ba10f7c9de0b7c829632b236c6c | ncb-sem-0de9c0c5b4d3defc | asd | [
"ncb21-task-da20639354308cd3"
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[
"psychosis_q013"
] | aligned_with_safety_augmentation | ncb-scientific-32c06a5e43e74faa | scientific | ncb-claim-0de9c0c5b4d3defc | {
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{
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"target_family": "psychosis... | In COBRE_REP, is SZ associated with lower fc_mean_positive than HC in an unadjusted comparison using dx as the only predictor and no covariates? | 32af0075f3b30c16797035845ea20ac9d213eae7c533b28921ea09373eab2c07 | ncb-scientific-32c06a5e43e74faa | cd5852946b1fb0165fd071056090b542c14f152976505671ed1a1350b0d90fd2 | ncb-sem-0de9c0c5b4d3defc | psychosis | [
"ncb21-task-a94f030e722dccd8"
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[
"ad_aging_q031"
] | aligned_with_safety_augmentation | ncb-scientific-349eb82545a4fed6 | scientific | ncb-claim-7d72a72282bd75df | {
"claim_id": "ad_aging_q031",
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"outcome": [
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{
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... | In OASIS3_DISC, with OASIS3_REP as a replication cohort, is Dementia associated with a lower temporal-lobe structural profile, including smri_entorhinal, smri_hippocampus, and smri_midtemp, than CN, adjusting for age and sex? | 915fb0b02db7ed098d3e37be3496e609041a3d9bf49ea168def3180cd74387d7 | ncb-scientific-349eb82545a4fed6 | 4c5d876ae7e35fa769aa404c56fe4336038c76b027276f97c82585b3b066a750 | ncb-sem-7d72a72282bd75df | ad_aging | [
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[
"ad_aging_q006"
] | aligned_with_safety_augmentation | ncb-scientific-3578a76ed8bf3578 | scientific | ncb-claim-750f3d2e5a18f3fd | {
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"pred... | 3578a76ed8bf35781d498f17e97f52809043ab7d6566b7a2316e03be5b46504f | ready | sMRI | 3578a76ed8bf35781d498f17e97f52809043ab7d6566b7a2316e03be5b46504f | [
{
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... | In ADNI_DISC, with ADNI_REP as a replication cohort, is Dementia associated with lower smri_fusiform than CN, adjusting for age and sex? | 2f6325a24e29ccb5dbac738603e08ff3b2edbca45205fd57e7b6cce8d1da9f03 | ncb-scientific-3578a76ed8bf3578 | 014895b946bf4421b4533b61fa55ab2a6e3cd1e8685cefbb66a842cf0e4de3a4 | ncb-sem-750f3d2e5a18f3fd | ad_aging | [
"ncb21-task-488d5612e99b3300"
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[
"normative_fmri_011"
] | aligned_with_safety_augmentation | ncb-scientific-3700ad906c849ad5 | scientific | ncb-claim-e6626f0717ad07d0 | {
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},
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... | 3700ad906c849ad53fa7bd2bdd91cad428c07057952f31ecea37b17a562b5aa9 | ready | fMRI-FC | 3700ad906c849ad53fa7bd2bdd91cad428c07057952f31ecea37b17a562b5aa9 | [
{
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"target_family": "norma... | In UKB_DISC, with replication in UKB_REP, do females and males differ in default-mode within-network connectivity (fc_fc_Default_Default_z), adjusting for age and cognition? | dd0cec98d7f1aac97206ba48ff4eed4d194206d7740113afc245558505ea93be | ncb-scientific-3700ad906c849ad5 | 4276cda719c93424930fcd08b892345fbeffe3719e3d6bded8ec4a3349d9f6a0 | ncb-sem-e6626f0717ad07d0 | normative_fmri | [
"ncb21-task-33ad70367c5e5019"
] |
[
"psychosis_q023"
] | aligned_with_safety_augmentation | ncb-scientific-3942bdaedf8efb2a | scientific | ncb-claim-2166e66544e56e96 | {
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"predict... | 3942bdaedf8efb2afecb3c2c12045c0014df9f189b66d0de08e09298d10c22ae | ready | fMRI-FC | 3942bdaedf8efb2afecb3c2c12045c0014df9f189b66d0de08e09298d10c22ae | [
{
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"target_family": "psychosis... | In ChineseSZ_REP, is fc_within_network lower in SZ than HC in an unadjusted dx-only group comparison with no covariates? | 45fc5a612e729a6508baf65d19a5bf36c2c8eb55cb58485f343c1b1eb135b55a | ncb-scientific-3942bdaedf8efb2a | d34baf9839a1f7ce0351893f85dc9f2c76b5229d9fe60120e79e29850b5038af | ncb-sem-2166e66544e56e96 | psychosis | [
"ncb21-task-afd8d2f90a5decce"
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[
"asd_q014"
] | aligned_with_safety_augmentation | ncb-scientific-3ad601039168835a | scientific | ncb-claim-a0c679d08f14f3e2 | {
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],
"discovery_cohort": "ABIDE2_DISC",
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{
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] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_Cont_Limbic differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | c1631bb846f6bf6561333f590d5d585cc0e8358de76834da91d4c259aab0ab3c | ncb-scientific-3ad601039168835a | fab86d965e8db8de8f66fd3c06297e5c8866a6fe6729d08baeba7f41f789ba65 | ncb-sem-a0c679d08f14f3e2 | asd | [
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] |
[
"psychosis_q037"
] | aligned | ncb-scientific-3b7b2226aa3bb7ce | scientific | ncb-claim-f6629357fa60f0d6 | {
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"region_set": nul... | 3b7b2226aa3bb7ce109fe00563be869699e1fef55876cce35355c6941ea873fd | ready | fMRI-FC | 3b7b2226aa3bb7ce109fe00563be869699e1fef55876cce35355c6941ea873fd | [
{
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"ncb21-task-dab97b669594593b"
] |
[
"asd_q030"
] | aligned_with_safety_augmentation | ncb-scientific-3ba54e0248b29adb | scientific | ncb-claim-ffd2364f0be169e2 | {
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{
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}
] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_Limbic_SalVentAttn differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | f457824aa9838d8a64dbad1840052b2af6b449c8a3de005af65756ab4bb14f6a | ncb-scientific-3ba54e0248b29adb | eb87f9570188517daaae7d91022e5fc26302a3db081ce8d96b2880bb1e6bf71e | ncb-sem-ffd2364f0be169e2 | asd | [
"ncb21-task-0d6282b64ac621ac"
] |
[
"asd_q039"
] | aligned_with_safety_augmentation | ncb-scientific-3bb5fd92cff87e34 | scientific | ncb-claim-f1008f8ce10847e7 | {
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],
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{
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}
] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_Cont_Cont_z differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 3216377109631cb3e8700e5ef4e7b61b453b37799de22d813c5e133b043e979f | ncb-scientific-3bb5fd92cff87e34 | 555008a59e88bc9bcd4c307543efe03626eadc2c7812cd3b22a23248c5c0b1a2 | ncb-sem-f1008f8ce10847e7 | asd | [
"ncb21-task-b56a70f7ddd5fc44"
] |
[
"psychosis_q004"
] | aligned_with_safety_augmentation | ncb-scientific-3cd280f660dfbcd4 | scientific | ncb-claim-a44d2718db4923a4 | {
"claim_id": "psychosis_q004",
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],
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},
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"predict... | 3cd280f660dfbcd415a0ac5f54af96f2ce8fe1cc897a4a14f869e1ea54467213 | ready | fMRI-FC | 3cd280f660dfbcd415a0ac5f54af96f2ce8fe1cc897a4a14f869e1ea54467213 | [
{
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"target_family": "psychosis... | In BSNIP2_DISC, do SZ and HC participants differ in fc_between_network in an unadjusted group comparison using dx as the only predictor and no covariates? | 0960ebd7c899621d0dff9af5d9c0b550295e3b9d0284eb626fb35be6b52689de | ncb-scientific-3cd280f660dfbcd4 | f555ea3e77e68e7c98be57a506ff641953f2f8e879082a91e5d6b59613b497bb | ncb-sem-a44d2718db4923a4 | psychosis | [
"ncb21-task-b93848fb1885ade6"
] |
[
"asd_q001"
] | aligned_with_safety_augmentation | ncb-scientific-3e1160c83f5950a6 | scientific | ncb-claim-bcd31e36404b748e | {
"claim_id": "asd_q001",
"covariates": [
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"site"
],
"discovery_cohort": "ABIDE1_DISC",
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},
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"predictor": "confirm_... | 3e1160c83f5950a67cb5f0bbc0478fdf9f1049f9a00563f8ba1bc631c90a9dbf | ready | fMRI-FC | 3e1160c83f5950a67cb5f0bbc0478fdf9f1049f9a00563f8ba1bc631c90a9dbf | [
{
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"source_id": "asd_q001",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
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}
] | In ABIDE1_DISC, with replication assessed in ABIDE1_REP, is fc_mean_abs lower in ASD than HC participants using dx as the predictor and no additional covariates? | 0a75415b4c04408e34290566724e63c7ba3987886fd331f3408c5bf65eb33b4c | ncb-scientific-3e1160c83f5950a6 | 9469521d14c3659d1013228401e75bf62c0d991f15ab65567cfcfde3211aeaee | ncb-sem-bcd31e36404b748e | asd | [
"ncb21-task-2aa14ad4c6a4579e"
] |
[
"psychosis_q043"
] | aligned | ncb-scientific-41408a5127ecaa01 | scientific | ncb-claim-6c35024a79091cc0 | {
"claim_id": "psychosis_q043",
"covariates": [],
"discovery_cohort": "ChineseSZ_DISC",
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"group": {
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},
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"region_set"... | 41408a5127ecaa01bb16f33bb137977cb589300803b75207c17804f34de42e00 | ready | fMRI-FC | 41408a5127ecaa01bb16f33bb137977cb589300803b75207c17804f34de42e00 | [
{
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"source_mode": "llm_proposed",
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"target_family": "psychosis... | Across ChineseSZ_DISC and ChineseSZ_REP, is the SZ-versus-HC contrast for fc_within_network directionally consistent with lower values in SZ in unadjusted dx-only group comparisons with no covariates? | acd99d52fb45c9fbec061999b8946a1c463eed51edefb93a00c1300d54610bc2 | ncb-scientific-41408a5127ecaa01 | d3617af993f9850718a5ecaf13969aed2425799aba29739fcd97a43f5a296c7d | ncb-sem-6c35024a79091cc0 | psychosis | [
"ncb21-task-be3fb7338da2dc8b"
] |
[
"adhd_q049"
] | aligned | ncb-scientific-41e14c6dd1c2213b | scientific | ncb-claim-9afa33f4c5eb06ba | {
"claim_id": "adhd_q049",
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"group": {
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},
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"region_set"... | 41e14c6dd1c2213b09c65b85fb99ab48160786245ae19fcdf1dbe6c8a7704fe3 | ready | fMRI-FC | 41e14c6dd1c2213b09c65b85fb99ab48160786245ae19fcdf1dbe6c8a7704fe3 | [
{
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}
] | Across ABCD_DISC and ADHD200_DISC, using each cohort's available ADHD-control coding separately (ABCD dx=1.0 vs 0.0 excluding missing dx; ADHD200 dx in {1,2,3} vs 0), is the ADHD association with Salience/VentralAttention-Somatomotor connectivity (fc_fc_SalVentAttn_SomMot_z) in the same direction, with no additional co... | 23a368ff60828e0ee0db8a67512b99e21274ca785f78e54e5a323fc5016e3be0 | ncb-scientific-41e14c6dd1c2213b | c4867377c24ee0fa3f3e85e6d399d03d4d0faac735bd27d424027901e88f1984 | ncb-sem-9afa33f4c5eb06ba | adhd | [
"ncb21-task-1fa31ad921dc7522"
] |
[
"normative_fmri_037"
] | aligned_with_safety_augmentation | ncb-scientific-424e2babe414b942 | scientific | ncb-claim-60a37008054031e7 | {
"claim_id": "normative_fmri_037",
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"age",
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
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"region_set": null,
"type": "associ... | 424e2babe414b942c9de6cea445152da63bc02ae3d4a57cba78750f02b7f0960 | ready | fMRI-FC | 424e2babe414b942c9de6cea445152da63bc02ae3d4a57cba78750f02b7f0960 | [
{
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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 cognition associated with lower default-mode to dorsal-attention connectivity (fc_fc_Default_DorsAttn_z), adjusting for age and sex? | c4847cc9ba269eec2b09c8947c21b8ce2ed072cb78d3d482e5b2b258471e8692 | ncb-scientific-424e2babe414b942 | 320bceb7128a61025172835c2cec6a45abce4da6d7bfb313cc492aa8fb944e6f | ncb-sem-60a37008054031e7 | normative_fmri | [
"ncb21-task-29ede93d8ab1d56d"
] |
[
"normative_fmri_006"
] | aligned_with_safety_augmentation | ncb-scientific-42b2c11ed186c2c9 | scientific | ncb-claim-7da5c992c2ef34ed | {
"claim_id": "normative_fmri_006",
"covariates": [
"sex",
"phen_fluid_intelligence",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
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"group": null,
"outcome": "fc_fc_Vis_Vis_z",
"predictor": "age",
"region_set": null,
"type": "association",... | 42b2c11ed186c2c9d794dfd42e14b54cf31afc8d70f2f8c136913760977724fb | ready | fMRI-FC | 42b2c11ed186c2c9d794dfd42e14b54cf31afc8d70f2f8c136913760977724fb | [
{
"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... | In UKB_DISC, with replication in UKB_REP, is higher age associated with lower visual-network within-network connectivity (fc_fc_Vis_Vis_z), adjusting for sex and cognition? | 00fd057640d4e21c3977da61b48d58c502b5a2a71d27ad9a44b09795174e6371 | ncb-scientific-42b2c11ed186c2c9 | 15bc296126f81e5125c49daafa677a68730aed5eb7ee8ac4a807083d818e2788 | ncb-sem-7da5c992c2ef34ed | normative_fmri | [
"ncb21-task-24a9f287d05f4f0c"
] |
[
"normative_fmri_014"
] | aligned_with_safety_augmentation | ncb-scientific-43b88d75579673af | scientific | ncb-claim-5675bb5235572038 | {
"claim_id": "normative_fmri_014",
"covariates": [
"sex",
"phen_fluid_composite",
"site"
],
"discovery_cohort": "HCP_DISC",
"estimand": {
"direction": "two_sided",
"group": null,
"outcome": "fc_fc_Cont_Cont_z",
"predictor": "age",
"region_set": null,
"type": "association",... | 43b88d75579673af885b371f0652ded9c324f9b8bf3da288fe57fd77b533156d | ready | fMRI-FC | 43b88d75579673af885b371f0652ded9c324f9b8bf3da288fe57fd77b533156d | [
{
"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... | In HCP_DISC, with replication in HCP_REP, is higher age associated with altered control-network within-network connectivity (fc_fc_Cont_Cont_z), adjusting for sex and cognition? | 8c60c67016bf8bad6fc157c929d3f5c36000c6fe72086ada05045874219ac4a6 | ncb-scientific-43b88d75579673af | 7a55958502b94355a8fb1acfe8ef54cfdcbf4bfe1d510c98236d0e6b02b09525 | ncb-sem-5675bb5235572038 | normative_fmri | [
"ncb21-task-3349e65b82ed72aa"
] |
[
"normative_fmri_020"
] | aligned_with_safety_augmentation | ncb-scientific-456c48345929eb71 | scientific | ncb-claim-4baa47ead031cd94 | {
"claim_id": "normative_fmri_020",
"covariates": [
"age",
"phen_fluid_composite",
"site"
],
"discovery_cohort": "HCP_DISC",
"estimand": {
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"group": {
"case": "F",
"control": "M",
"var": "sex"
},
"outcome": "fc_fc_SomMot_SomMot_z",
"pr... | 456c48345929eb71ad0b3a52855e1c8ae6d77f6e6ac96e12dc58ebe0ecd43705 | ready | fMRI-FC | 456c48345929eb71ad0b3a52855e1c8ae6d77f6e6ac96e12dc58ebe0ecd43705 | [
{
"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... | In HCP_DISC, with replication in HCP_REP, do females and males differ in somatomotor within-network connectivity (fc_fc_SomMot_SomMot_z), adjusting for age and cognition? | 18d607e826ddb60b2ac1b306496243e0e6b99d75c58f65c3f2eee46d3189eec2 | ncb-scientific-456c48345929eb71 | 9fbd80f0dfe16264f74d4785f4f0d8515c9b75c703c0bef523e380b28442c67f | ncb-sem-4baa47ead031cd94 | normative_fmri | [
"ncb21-task-9b8b8215a1ce887d"
] |
[
"asd_q024"
] | aligned_with_safety_augmentation | ncb-scientific-46c685780a6efe6d | scientific | ncb-claim-d57cc58cb2389ca9 | {
"claim_id": "asd_q024",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
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"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_DorsAttn_DorsAttn",
"predicto... | 46c685780a6efe6d8000426a098ef58223dceb61be99792eabb6a33e80beadb1 | ready | fMRI-FC | 46c685780a6efe6d8000426a098ef58223dceb61be99792eabb6a33e80beadb1 | [
{
"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 ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_DorsAttn_DorsAttn differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | f380a8774ede070e916ad9e129d1def8dde79bce998c83260af51133bfb96872 | ncb-scientific-46c685780a6efe6d | df94ea643f6a82d627ef77486a98d9c3890f524be2f69524be3b4a40f2284f3d | ncb-sem-d57cc58cb2389ca9 | asd | [
"ncb21-task-a56f004a7108ee69"
] |
[
"normative_fmri_039"
] | aligned_with_safety_augmentation | ncb-scientific-493d1fd9443c1c35 | scientific | ncb-claim-990c320700551cb7 | {
"claim_id": "normative_fmri_039",
"covariates": [
"age",
"phen_fluid_composite",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
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"group": {
"case": "F",
"control": "M",
"var": "sex"
},
"outcome": "fc_fc_SalVentAttn_SalVentAttn_... | 493d1fd9443c1c35a711b47980ace70d89341606b2d943556f40528ed85ce744 | ready | fMRI-FC | 493d1fd9443c1c35a711b47980ace70d89341606b2d943556f40528ed85ce744 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_039",
"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, do females and males differ in salience/ventral-attention within-network connectivity (fc_fc_SalVentAttn_SalVentAttn_z), adjusting for age and cognition? | b77f8cc25b1e5c13e544c9c05662489a74ffc973d93ce8c27d2997563240fe98 | ncb-scientific-493d1fd9443c1c35 | 44cb8ffced20c836796d66a5e6e4765d27e24be930cd59af8a7e13b56cdb0a7d | ncb-sem-990c320700551cb7 | normative_fmri | [
"ncb21-task-6cab1406c0470865"
] |
[
"sz_fc_within_cobre_fbirn"
] | aligned_with_safety_augmentation | ncb-scientific-49789008a2790135 | scientific | ncb-claim-2166e66544e56e96 | {
"claim_id": "sz_fc_within_cobre_fbirn",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "COBRE_DISC",
"estimand": {
"direction": "negative",
"group": {
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"var": "confirm_dx"
},
"outcome": "fc_within_network",
"... | 49789008a2790135ef34dcf22e9cca7d4c0f5d7fbda4deb5eba3ff7d6e6f9a00 | ready | fMRI-FC | 49789008a2790135ef34dcf22e9cca7d4c0f5d7fbda4deb5eba3ff7d6e6f9a00 | [
{
"prior_label": "known_positive",
"source_citation": "Pettersson-Yeo et al. 2011 Neuroscience and Biobehavioral Reviews",
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"source_id": "sz_fc_within_cobre_fbirn",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",... | For SZ hypoconnectivity within-network FC in fMRI-FC, using COBRE as discovery and FBIRN as replication, test the claim with expected direction negative SZ minus HC on fc_within_network and adjust for age;sex when available. | 01556625a9b8ec63fe4f204a3a16d2a31f82ef736397c39bf15f966331a4eb3e | ncb-scientific-49789008a2790135 | 722fb2d507e4c1aaeb7efe6875886478d493bfd395a00cc432097d069c3370b0 | ncb-sem-2166e66544e56e96 | psychosis | [
"ncb21-task-ae4cffe1ef03c0b4"
] |
[
"psychosis_q022"
] | aligned | ncb-scientific-49fd02560669f081 | scientific | ncb-claim-b158ae5ae8b91424 | {
"claim_id": "psychosis_q022",
"covariates": [],
"discovery_cohort": "ChineseSZ_REP",
"estimand": {
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"group": {
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},
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"region_set": null... | 49fd02560669f081865a60b8024eb81ebb6dc5834a87820f119def66b35fa233 | ready | fMRI-FC | 49fd02560669f081865a60b8024eb81ebb6dc5834a87820f119def66b35fa233 | [
{
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In ChineseSZ_REP, do SZ participants differ from HC participants in fc_mean_abs in an unadjusted comparison with dx as the only predictor and no covariates? | 7ce52abe559cbd413fff3fb055b9a369ddda4cd1a5c293ae33a6e19ae080c5de | ncb-scientific-49fd02560669f081 | db49cfc08d0dc1e0cf596335c58ce0bd7d0c5168d8ff9859c604cf2df53eaa6e | ncb-sem-b158ae5ae8b91424 | psychosis | [
"ncb21-task-b1e9180bbfc16c27"
] |
[
"psychosis_q017"
] | aligned | ncb-scientific-4bafecc6ed3b9d87 | scientific | ncb-claim-f6629357fa60f0d6 | {
"claim_id": "psychosis_q017",
"covariates": [],
"discovery_cohort": "ChineseSZ_DISC",
"estimand": {
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"group": {
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},
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"region_set":... | 4bafecc6ed3b9d87a26b408fcd1dd48f8e80cc184c6f98eb941ab54c48ad2031 | ready | fMRI-FC | 4bafecc6ed3b9d87a26b408fcd1dd48f8e80cc184c6f98eb941ab54c48ad2031 | [
{
"prior_label": "candidate_unknown",
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"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In ChineseSZ_DISC, is SZ associated with lower fc_mean_positive than HC in an unadjusted group comparison with dx as the only predictor and no covariates? | d8607c5669ed576987535d932e063a92d7702cb0f9133fd9674dfe5589e32dcf | ncb-scientific-4bafecc6ed3b9d87 | 268b69cf96dd2cc0db0b7bb8de6631724aaec624348baa790dda0f8d686b9662 | ncb-sem-f6629357fa60f0d6 | psychosis | [
"ncb21-task-7eb216d2079d955a"
] |
[
"pubmed_34280835_pmid34280835_adhd_smn-fc_01"
] | aligned | ncb-scientific-4bec8588ceb4224d | scientific | ncb-claim-54358dca910572d4 | {
"claim_id": "pubmed_34280835_pmid34280835_adhd_smn-fc_01",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "positive",
"group": {
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"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_S... | 4bec8588ceb4224ddd1ba5d8630aca64bbe57f5c572153bf88b8b92a099e90a4 | ready | fMRI-FC | 4bec8588ceb4224ddd1ba5d8630aca64bbe57f5c572153bf88b8b92a099e90a4 | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:34280835; DOI:10.1016/j.nicl.2021.102759",
"source_collection": "stage2_current",
"source_id": "pubmed_34280835_pmid34280835_adhd_smn-fc_01",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all-gp... | For literature-grounded ADHD diagnosis versus typically developing control status effect on interhemispheric somatomotor network functional connectivity in resting-state fMRI functional connectivity, using ABCD as discovery and ADHD200 as replication, test the claim with expected direction positive and adjust for age;s... | b64e3ace5cdd53ccd885f80b4e18d8a7d546e42a0835d42dcf0ec94079f6a606 | ncb-scientific-4bec8588ceb4224d | ce51729fb7a0bd13bdbe1d8ba0a11581a46eae9cb8fc9b213a752cbcc86f5f82 | ncb-sem-54358dca910572d4 | adhd | [
"ncb21-task-966fa3f0d3b58999"
] |
[
"adhd_q015"
] | aligned_with_safety_augmentation | ncb-scientific-4cdc34b013079f25 | scientific | ncb-claim-e204539c7b009359 | {
"claim_id": "adhd_q015",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_Default_z",
"predic... | 4cdc34b013079f25e4a8d0ecbc1de04254f8203a47122d8ea7aaffc0b397cf81 | ready | fMRI-FC | 4cdc34b013079f25e4a8d0ecbc1de04254f8203a47122d8ea7aaffc0b397cf81 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q015",
"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 within-Default connectivity (fc_fc_Default_Default_z), with no additional covariates, and is this association seen in ADHD200_REP? | 420536f8daa167807f9ff99ab7d52445c1174c1aa174d5f6d8898dff0fcf61e7 | ncb-scientific-4cdc34b013079f25 | 349494920ce88de4128b207b5a3c20cc7ad31ea24d5cf9afcf673f3753be289a | ncb-sem-e204539c7b009359 | adhd | [
"ncb21-task-67e9643af045427c"
] |
[
"psychosis_q005"
] | aligned_with_safety_augmentation | ncb-scientific-4cedbc48040eac27 | scientific | ncb-claim-0de9c0c5b4d3defc | {
"claim_id": "psychosis_q005",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "BSNIP2_REP",
"estimand": {
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"outcome": "fc_mean_positive",
"predictor":... | 4cedbc48040eac27d2eaf9fa5cbc4713fa67c79a232f498107862a2fe7d63e79 | ready | fMRI-FC | 4cedbc48040eac27d2eaf9fa5cbc4713fa67c79a232f498107862a2fe7d63e79 | [
{
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"source_mode": "llm_proposed",
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"target_family": "psychosis... | In BSNIP2_REP, is SZ associated with lower fc_mean_positive than HC in an unadjusted group comparison with dx as the only predictor and no covariates? | f26b3bdeb4deae8bacabd7e4ff1a21263ad771773635335f9175bde26420c892 | ncb-scientific-4cedbc48040eac27 | 61f2835238cc81613f9a40a7ac6efacc2311cb56f17eb0a6d3f8a1e19698977b | ncb-sem-0de9c0c5b4d3defc | psychosis | [
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[
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] | aligned_with_safety_augmentation | ncb-scientific-4d6ed37bb9324c72 | scientific | ncb-claim-7f91f6e25ee9d60d | {
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{
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... | In ADNI_fMRI_REP, excluding participants with missing diagnosis code, is diagnosis code 2.0 associated with lower fc_fc_Default_Default_z than diagnosis code 0.0, adjusting for age and sex? | ef2a8e15be082d933317e939029fdcff5bd018f83edc5aeceae2519cad111e55 | ncb-scientific-4d6ed37bb9324c72 | 96a891634aee34db98fbb9b09bacad84f945bcf1161c384f8d983a8e93aed009 | ncb-sem-7f91f6e25ee9d60d | ad_aging | [
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[
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] | aligned | ncb-scientific-4f6f45a81e8e3370 | scientific | ncb-claim-f735fffc87f90990 | {
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"... | 4f6f45a81e8e337049763733e2b9871efc22c4d9fc5f5f6d4ccf920cb8a023d6 | ready | fMRI-FC | 4f6f45a81e8e337049763733e2b9871efc22c4d9fc5f5f6d4ccf920cb8a023d6 | [
{
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"source_path": "review-stage/confi... | For literature-grounded idiopathic autism diagnosis versus neurotypical control status effect on functional connectivity dysconnectivity 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. | a3b0a5385d5c5cb57ffe2a1beeebcac6d75eea4a7cd36db68b07e4b2378e8048 | ncb-scientific-4f6f45a81e8e3370 | b9771be35668573640eb777a1bc873d014c162f60a7a3f8cc6f201cdfc2091cd | ncb-sem-f735fffc87f90990 | asd | [
"ncb21-task-09b5e9d053af98b1"
] |
[
"pubmed_26306871_pmid26306871_ca1_earlyad_smri"
] | ambiguous_unresolved | ncb-scientific-4f93b1319bad7eb5 | scientific | ncb-claim-9a1d0e71271e5380 | {
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"estimand": {
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"outcome": "smri_... | 4f93b1319bad7eb5270d52835024fc7aeeb8a509d78d4df9fbd91435aea6517c | ambiguous_unresolved | sMRI | 4f93b1319bad7eb5270d52835024fc7aeeb8a509d78d4df9fbd91435aea6517c | [
{
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"source_path": "review-stage/confirm-ga... | For literature-grounded early-stage Alzheimer's disease versus non-AD/healthy aging comparison effect on hippocampal subfield morphology / CA1 atrophy in sMRI, using ADNI as discovery and OASIS3 as replication, test the claim with expected direction negative and adjust for age;eTIV;sex when available. | 34c7b062f9bfdc1785439fb0c394101c73717df59d99a3e4dfb44f4b7aa3a5d1 | ncb-scientific-4f93b1319bad7eb5 | d0b6b8c219d458c68ca3b6a197245ee4d8a65b4b971488d03ed6e84eff5bf700 | ncb-sem-9a1d0e71271e5380 | ad_aging | [] |
[
"psychosis_q025"
] | aligned | ncb-scientific-4ffc0faff41b9d25 | scientific | ncb-claim-f6629357fa60f0d6 | {
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{
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"target_family": "psychosis... | In FBIRN_DISC, is SZ associated with lower fc_mean_positive than HC in an unadjusted dx-only group comparison with no covariates? | d13d2b62913f5c098393f517d74d2046a445696c24b0bcdfeca33e9db9372ee9 | ncb-scientific-4ffc0faff41b9d25 | fe7ca606cc15152226741e3c17bc7df83318a04ec3ecb53c6b3c26fc091a2ad7 | ncb-sem-f6629357fa60f0d6 | psychosis | [
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[
"psychosis_q038"
] | ambiguous_unresolved | ncb-scientific-51f69ecdfc1f24b2 | scientific | ncb-claim-b158ae5ae8b91424 | {
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... | 51f69ecdfc1f24b277984e6877bcaf2b948d82427c5f75a82b8d082ad218f263 | ambiguous_unresolved | fMRI-FC | 51f69ecdfc1f24b277984e6877bcaf2b948d82427c5f75a82b8d082ad218f263 | [
{
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"target_family": "psychosis... | Across COBRE_DISC and COBRE_REP, is the SZ-versus-HC contrast for fc_mean_abs directionally consistent in unadjusted comparisons with dx as the only predictor and no covariates? | 038d8609270335e60d9a9cbfb9e0a894de4769ab40327e1d39422894e7c41641 | ncb-scientific-51f69ecdfc1f24b2 | 77d670aaa8fd4d1630b10c032cd5633e9a44c55e6225e90ce36ad152cb90f664 | ncb-sem-b158ae5ae8b91424 | psychosis | [] |
[
"asd_q044"
] | aligned_with_safety_augmentation | ncb-scientific-531f4a09678d2222 | scientific | ncb-claim-e48ab6e1b6ef387c | {
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"predictor": ... | 531f4a09678d2222e7dfb2b3f2c5e270ea361cb4ff770d5a532b98fb51322082 | ready | fMRI-FC | 531f4a09678d2222e7dfb2b3f2c5e270ea361cb4ff770d5a532b98fb51322082 | [
{
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] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_Cont_SomMot_z differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 9b145e733c73d43246239a62c9bade15c159bba88cda626c465b0b37b812fd8c | ncb-scientific-531f4a09678d2222 | 7cc6cef044e76528cc0772c526b9302237c8c48fded67bd9e0f31180eaea22e1 | ncb-sem-e48ab6e1b6ef387c | asd | [
"ncb21-task-072a14c8383581f4"
] |
[
"asd_q011"
] | aligned_with_safety_augmentation | ncb-scientific-548cb9ea8bd9f8de | scientific | ncb-claim-64e9882773a50a91 | {
"claim_id": "asd_q011",
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"discovery_cohort": "ABIDE2_DISC",
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"predictor": "con... | 548cb9ea8bd9f8debed81d65b27010ba68443f8389de280f24e0a60133bfd4ba | ready | fMRI-FC | 548cb9ea8bd9f8debed81d65b27010ba68443f8389de280f24e0a60133bfd4ba | [
{
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}
] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_Cont_Cont differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 9395aaf6f2c356453d1ae8c8ad57665df220feba99a1498c05afaa14107b8041 | ncb-scientific-548cb9ea8bd9f8de | fd9bb6d6be959f2fe86bf79ece42f4b3102d6a452f6c0cc559c946544ed68d52 | ncb-sem-64e9882773a50a91 | asd | [
"ncb21-task-e356e42f1f57342d"
] |
[
"psychosis_q034"
] | aligned | ncb-scientific-548d362dc2682286 | scientific | ncb-claim-b158ae5ae8b91424 | {
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... | 548d362dc26822867e373f356852faa0ed9fa00f1757c8e4486a1d240506e03e | ready | fMRI-FC | 548d362dc26822867e373f356852faa0ed9fa00f1757c8e4486a1d240506e03e | [
{
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"target_family": "psychosis... | Across BSNIP2_DISC and BSNIP2_REP, is the SZ-versus-HC contrast for fc_mean_abs directionally consistent in unadjusted dx-only comparisons with no covariates? | e8f14d2146dd256528b401a0503ab26337c62569d3a5d1214721c22ad58877f2 | ncb-scientific-548d362dc2682286 | 537fa3ff613c87fe50799027634a4d4d674f303fc32f98016cd680303c050351 | ncb-sem-b158ae5ae8b91424 | psychosis | [
"ncb21-task-2a683ce1e6dce377"
] |
[
"pubmed_37741308_pmid37741308_asd_fc_groupdiff"
] | aligned | ncb-scientific-55457edaa703fbe4 | scientific | ncb-claim-6ba39a227919b4ae | {
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{
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"source_path": "review-stage/confirm-gates-... | For literature-grounded ASD diagnosis versus typically developing controls effect on resting-state functional connectivity alterations 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. | a9a62d5037edfd7c12fc949bdd83959bd8a4663b5fdb80b542453e6f2a4985ba | ncb-scientific-55457edaa703fbe4 | a8006a00da888baecfcf1add9ab85ef03c9a4ec8e9053710647fe90564b68b38 | ncb-sem-6ba39a227919b4ae | asd | [
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] |
[
"psychosis_q050"
] | aligned | ncb-scientific-55b455d152ed1390 | scientific | ncb-claim-6c35024a79091cc0 | {
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"region_set": n... | 55b455d152ed1390382cc96bd36b995f3d6549c65d1710583265325ae547aabe | ready | fMRI-FC | 55b455d152ed1390382cc96bd36b995f3d6549c65d1710583265325ae547aabe | [
{
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"target_family": "psychosis... | Across the four replication cohorts BSNIP2_REP, COBRE_REP, ChineseSZ_REP, and FBIRN_REP, is SZ associated with lower fc_within_network than HC in unadjusted dx-only comparisons with no covariates? | 450700c0e900d1020fc742e4378a48e70afe313c792916af66b6335f1ccb7452 | ncb-scientific-55b455d152ed1390 | 1dabd2c270a254e474c3ad7b98784f314a2019bc47aaafd177e456205eb8da51 | ncb-sem-6c35024a79091cc0 | psychosis | [
"ncb21-task-de909dfff55dd68a"
] |
[
"psychosis_q029"
] | aligned_with_safety_augmentation | ncb-scientific-561d93190dd22ced | scientific | ncb-claim-0de9c0c5b4d3defc | {
"claim_id": "psychosis_q029",
"covariates": [
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],
"discovery_cohort": "FBIRN_REP",
"estimand": {
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},
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"predictor": ... | 561d93190dd22ced60f31e0fd38e0faf5c987fc53b8acf69c6396133d316d230 | ready | fMRI-FC | 561d93190dd22ced60f31e0fd38e0faf5c987fc53b8acf69c6396133d316d230 | [
{
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"source_id": "psychosis_q029",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In FBIRN_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? | adfdf92ec3b7d82f846061a833138ee3d6955a288b1384df67e2e4e64f1d87c3 | ncb-scientific-561d93190dd22ced | f22aba492cc44c028bfee04be5d919686081f202e6d334da3cfe2c86f4282989 | ncb-sem-0de9c0c5b4d3defc | psychosis | [
"ncb21-task-f04b585ffdb4ed1b"
] |
[
"pubmed_35338900_pmid35338900_age_fcsc"
] | ambiguous_unresolved | ncb-scientific-5640b53a2dfaa1b8 | scientific | ncb-claim-8888e572347a6aa1 | {
"claim_id": "pubmed_35338900_pmid35338900_age_fcsc",
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"site"
],
"discovery_cohort": "ABCD_DISC",
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... | 5640b53a2dfaa1b884c99a06c8c8897d97d1155e8f60cc54e4822588eef8e5bc | ambiguous_unresolved | fMRI-FC | 5640b53a2dfaa1b884c99a06c8c8897d97d1155e8f60cc54e4822588eef8e5bc | [
{
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"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all-gpt55/com... | For literature-grounded age effect on frontal corticostriatal functional connectivity between striatal subregions and frontal cortex in fMRI-FC, using ABCD as discovery and ADHD200 as replication, test the claim with expected direction positive and adjust for age;sex;site when available. | 246e55fa601b1b90f28d32a6eb77be802dc4ba85b42be38d516fb90cc79eeb64 | ncb-scientific-5640b53a2dfaa1b8 | 17e09dbfbb818463be64def6c61cfc8c7ec71c57d54d6497464aa716d8ce0651 | ncb-sem-8888e572347a6aa1 | adhd | [] |
[
"cognition_dyno_ukb_abcd"
] | ambiguous_unresolved | ncb-scientific-56dfabf45f27a27d | scientific | ncb-claim-838b39cddc47a73b | {
"claim_id": "cognition_dyno_ukb_abcd",
"covariates": [
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"sex",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
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"group": null,
"outcome": "raw_fmri_dyno_",
"predictor": "phen_height",
"region_set": "fmri_dynamics",
"type": "associati... | 56dfabf45f27a27d95a8e711db1ee23b051e00cf5db0812e0e6b80613de032a1 | ambiguous_unresolved | other | 56dfabf45f27a27d95a8e711db1ee23b051e00cf5db0812e0e6b80613de032a1 | [
{
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"source_citation": "Marek et al. 2022 Nature [VERIFY]",
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"source_id": "cognition_dyno_ukb_abcd",
"source_mode": "literature",
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"target_family"... | For cognition association with fMRI dynamics descriptors in fMRI-dynamics, using UKB as discovery and ABCD as replication, test the claim with expected direction two_sided and adjust for age;sex;site when available. | 4840005c85a800d9ca2725032d63cb1325bd1b91d075aa71af0e764a905c11a5 | ncb-scientific-56dfabf45f27a27d | 0c8799a9be2c6f76039006024b72b2421adbbe47ffeb49e385b69e6c7427753f | ncb-sem-838b39cddc47a73b | normative_fmri | [] |
[
"ad_smri_adni_oasis3"
] | aligned_with_safety_augmentation | ncb-scientific-572d89238c32c460 | scientific | ncb-claim-d295d09b83e74459 | {
"claim_id": "ad_smri_adni_oasis3",
"covariates": [
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"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
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"var": "confirm_dx"
},
"outcome": "smri_hippocampus",
... | 572d89238c32c460c995e41986a179e9a5d92a3f833d3499a0a4c30ea9b4591d | ready | sMRI | 572d89238c32c460c995e41986a179e9a5d92a3f833d3499a0a4c30ea9b4591d | [
{
"prior_label": "known_positive",
"source_citation": "Jack et al. 2018 NIA-AA framework",
"source_collection": "legacy_scientific",
"source_id": "ad_smri_adni_oasis3",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "ad_aging"
}
... | For AD hippocampal 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. | a272797c98c16f6bad72d38eec4f74a57ed3e8a0d23d4f4f052e1e48be3f5b38 | ncb-scientific-572d89238c32c460 | d0b6b8c219d458c68ca3b6a197245ee4d8a65b4b971488d03ed6e84eff5bf700 | ncb-sem-d295d09b83e74459 | ad_aging | [
"ncb21-task-92fa7f071e5967dd"
] |
[
"adhd_q042"
] | aligned_with_safety_augmentation | ncb-scientific-579c77d9f61e5f87 | scientific | ncb-claim-b4a8d5bfb3357c42 | {
"claim_id": "adhd_q042",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_SomMot_z",
"predict... | 579c77d9f61e5f872fb1fae891fba19835a019868aa8a7ef7a47d76233ac7b33 | ready | fMRI-FC | 579c77d9f61e5f872fb1fae891fba19835a019868aa8a7ef7a47d76233ac7b33 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q042",
"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 Default-Somatomotor connectivity (fc_fc_Default_SomMot_z), with no additional covariates? | f30d58139c80f7e6f20df857bae4bb4dde60bee5b6c9b955acef51058ae22c34 | ncb-scientific-579c77d9f61e5f87 | f111c2cb52ff6097222184ba87566494afc3d3adda3da29dd2fb78a7866bd834 | ncb-sem-b4a8d5bfb3357c42 | adhd | [
"ncb21-task-ab593634affa00eb"
] |
[
"pubmed_26663386_pmid26663386_age_cingulum_fc"
] | ambiguous_unresolved | ncb-scientific-5824fc854e2aa2db | scientific | ncb-claim-beefd94db97ee85a | {
"claim_id": "pubmed_26663386_pmid26663386_age_cingulum_fc",
"covariates": [
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "two_sided",
"group": null,
"outcome": "fc_fc_",
"predictor": "age",
"region_set": "resting_state_fc_network_pairs",
"type"... | 5824fc854e2aa2db799a52d765f5f11904fc435ccb2680832ab5d920b9e8dcb8 | ambiguous_unresolved | fMRI-FC | 5824fc854e2aa2db799a52d765f5f11904fc435ccb2680832ab5d920b9e8dcb8 | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:26663386; DOI:10.1002/hbm.23067",
"source_collection": "stage2_current",
"source_id": "pubmed_26663386_pmid26663386_age_cingulum_fc",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all-gpt55/comb... | For literature-grounded Age among healthy older adults aged 64-85 effect on resting-state functional connectivity strength in resting-state fMRI functional connectivity, 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. | 8b612f373b82a42456118497e661cc7a2dce6cb854823430756c841d22bc3306 | ncb-scientific-5824fc854e2aa2db | afb253f86efc1e81d922e9696f3fe73221fc8742a0cb705f8231cd22ee022b49 | ncb-sem-beefd94db97ee85a | normative_fmri | [] |
[
"psychosis_q006"
] | aligned_with_safety_augmentation | ncb-scientific-58864dfe748ed623 | scientific | ncb-claim-893ac2c9b485762f | {
"claim_id": "psychosis_q006",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "BSNIP2_REP",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_mean_abs",
"predictor": "co... | 58864dfe748ed623b1e412e518eb6d075f1280ebe036bb1dc55e56e8a2aca169 | ready | fMRI-FC | 58864dfe748ed623b1e412e518eb6d075f1280ebe036bb1dc55e56e8a2aca169 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q006",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In BSNIP2_REP, do SZ participants differ from HC participants in fc_mean_abs in an unadjusted comparison using dx as the only predictor and no covariates? | 314e17bed9a866bce881846048b0dc2e2b32f53a9fbb3a608a0e813c19888d20 | ncb-scientific-58864dfe748ed623 | 316d36f4ebdabf24d62c16f1e9ab6f02b8445d95f78aea91a0c4bf3eaba6af98 | ncb-sem-893ac2c9b485762f | psychosis | [
"ncb21-task-eba5de2aec72a501"
] |
[
"psychosis_q047"
] | aligned | ncb-scientific-58a996a383e72e5b | scientific | ncb-claim-6c35024a79091cc0 | {
"claim_id": "psychosis_q047",
"covariates": [],
"discovery_cohort": "FBIRN_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_within_network",
"predictor": "confirm_dx",
"region_set": nu... | 58a996a383e72e5b79cc802cd41cc61d146ef74faab2650d92112acd832924d8 | ready | fMRI-FC | 58a996a383e72e5b79cc802cd41cc61d146ef74faab2650d92112acd832924d8 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q047",
"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_within_network directionally consistent with lower values in SZ in unadjusted comparisons using dx only and no covariates? | 23e96735ff84a2c582ee4808186ca51b89521482d6ce90dbeda6380ce319d331 | ncb-scientific-58a996a383e72e5b | 11cb39da8a64e2be9e6096cba334e0ce56565619423b10be8e5cc6fdae7fca4b | ncb-sem-6c35024a79091cc0 | psychosis | [
"ncb21-task-db5dda410f80460c"
] |
[
"asd_q048"
] | aligned_with_safety_augmentation | ncb-scientific-58fd062031fc801e | scientific | ncb-claim-5197f47ccefe760c | {
"claim_id": "asd_q048",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_Limbic_z",
"predictor... | 58fd062031fc801ec995be400539f15fb05609ddaa041a485e24b531f854d19c | ready | fMRI-FC | 58fd062031fc801ec995be400539f15fb05609ddaa041a485e24b531f854d19c | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q048",
"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_Limbic_z differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 62f7a6ba1b84ac1d72b8594494058212b504be14456cdb0164754364ae6e8e38 | ncb-scientific-58fd062031fc801e | 1017ff3308a7462e450506c53e1c518e7f4c6ec547c92f6f1ad3d7ec9ba4add3 | ncb-sem-5197f47ccefe760c | asd | [
"ncb21-task-ac0b3670d4eb0173"
] |
[
"asd_fc_abide1_site_split"
] | aligned | ncb-scientific-5a12e0c7d2a28bde | scientific | ncb-claim-e939d6b8b53df97c | {
"claim_id": "asd_fc_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_",
"predictor": ... | 5a12e0c7d2a28bde4afc334c4453061c3551f223b203d5072532ad300d4b829d | ready | fMRI-FC | 5a12e0c7d2a28bde4afc334c4453061c3551f223b203d5072532ad300d4b829d | [
{
"prior_label": "fragile",
"source_citation": "Haar et al. 2016 Biological Psychiatry",
"source_collection": "legacy_scientific",
"source_id": "asd_fc_abide1_site_split",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "asd"
}
] | For ASD case-control 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. | d30c16ffd54eccd21f10d874bf43276fc38cad0e135b77da258451563b2f8723 | ncb-scientific-5a12e0c7d2a28bde | 4fb7107690cc767e4792aeb50d39a413c39e6ab57ce22eccd0f85fb8c48ffbc5 | ncb-sem-e939d6b8b53df97c | asd | [
"ncb21-task-93d0f00b65344ed7"
] |
[
"adhd_q036"
] | aligned_with_safety_augmentation | ncb-scientific-5af5c999c214ab93 | scientific | ncb-claim-0a4ed7bf61f20cb0 | {
"claim_id": "adhd_q036",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Vis_Vis_z",
"predictor": "conf... | 5af5c999c214ab9372f9f2d8ade3dd6da56394efb2231c76129e7a21833959ea | ready | fMRI-FC | 5af5c999c214ab9372f9f2d8ade3dd6da56394efb2231c76129e7a21833959ea | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q036",
"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-Visual connectivity (fc_fc_Vis_Vis_z), with no additional covariates? | ccf4099ad8b6609ff96a20fdbbcbff59e776a091fb1a0aa0cfb687df1d3bfa79 | ncb-scientific-5af5c999c214ab93 | 70d5fa4400acc285f2f676ef2e4b905e33e62f4ed6023ddd94c0032901dd746a | ncb-sem-0a4ed7bf61f20cb0 | adhd | [
"ncb21-task-1a1dd6d309bd7a8a"
] |
[
"adhd_q010"
] | aligned_with_safety_augmentation | ncb-scientific-5b0717b45335d600 | scientific | ncb-claim-a8f42f69ec837949 | {
"claim_id": "adhd_q010",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "positive",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_SomMot_Vis_z",
"predictor": "co... | 5b0717b45335d600cb9bb3a3365f50480541f74ab04b95723d2b163524b995c2 | ready | fMRI-FC | 5b0717b45335d600cb9bb3a3365f50480541f74ab04b95723d2b163524b995c2 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q010",
"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, do ADHD cases (dx=1.0) show higher Visual-Somatomotor connectivity (fc_fc_SomMot_Vis_z) than controls (dx=0.0), with no additional covariates, and is the direction consistent in ABCD_REP? | 6b5bdc4dddbee3b792e9544c0d98105f01a2b90cb96925c69cbebf7cafd9626f | ncb-scientific-5b0717b45335d600 | f1668e2649063716355784a7471b7346154ae8d358180e7a5804c681aebb6cad | ncb-sem-a8f42f69ec837949 | adhd | [
"ncb21-task-b8602e973f42b46b"
] |
[
"brainwide_adni_oasis_ad_signature"
] | aligned_with_safety_augmentation | ncb-scientific-5b85792fec387f31 | scientific | ncb-claim-08d0dc1bbf33d0ab | {
"claim_id": "brainwide_adni_oasis_ad_signature",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "smri_... | 5b85792fec387f3151f93502d6b27218fa819acbbcdeeda46e7331b03e8d9f24 | ready | sMRI | 5b85792fec387f3151f93502d6b27218fa819acbbcdeeda46e7331b03e8d9f24 | [
{
"prior_label": "known_positive",
"source_citation": "Jack et al. 2018 NIA-AA framework",
"source_collection": "legacy_scientific",
"source_id": "brainwide_adni_oasis_ad_signature",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "... | 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-5b85792fec387f31 | 7a8f870051ec1b9747c9c3d560ae91f103f54161c503996539bd0ec5d0774c80 | ncb-sem-08d0dc1bbf33d0ab | normative_fmri | [
"ncb21-task-61e7a78710d971c6"
] |
[
"adhd_fc_adhd200_abcd"
] | aligned | ncb-scientific-5bbd3e8e8a1ab72c | scientific | ncb-claim-bcc28b71066821a5 | {
"claim_id": "adhd_fc_adhd200_abcd",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_",
"predictor": ... | 5bbd3e8e8a1ab72c7633d7b63be523d5be9acc9a12c37f90328b5027bff3b9f5 | ready | fMRI-FC | 5bbd3e8e8a1ab72c7633d7b63be523d5be9acc9a12c37f90328b5027bff3b9f5 | [
{
"prior_label": "fragile",
"source_citation": "ADHD-200 Consortium 2012",
"source_collection": "legacy_scientific",
"source_id": "adhd_fc_adhd200_abcd",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "adhd"
}
] | For ADHD case-control FC difference in fMRI-FC, using ADHD200 as discovery and ABCD as replication, test the claim with expected direction two_sided and adjust for age;sex;site when available. | 45a53ebaaa1e06d04fefc2ec7fbfe0f5f751658ba43cb23a4a4bd4fb9c994662 | ncb-scientific-5bbd3e8e8a1ab72c | 8818fa68d83d9a447c83b30194950086218be94f32f16762aa0312a5e47d779a | ncb-sem-bcc28b71066821a5 | adhd | [
"ncb21-task-b50dee44b2695af4"
] |
[
"asd_q047"
] | aligned_with_safety_augmentation | ncb-scientific-5d4734ea98c9d333 | scientific | ncb-claim-c3d285b10c7a0e2f | {
"claim_id": "asd_q047",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_DorsAttn_z",
"predict... | 5d4734ea98c9d333507a8f256c939d4c32820705161302d7f9b6dece95787e70 | ready | fMRI-FC | 5d4734ea98c9d333507a8f256c939d4c32820705161302d7f9b6dece95787e70 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q047",
"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_DorsAttn_z differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | e0532ef3d83af02c4b647c4e7dd24b14da5fa4f67b4c8228773cb5ba9bf556ff | ncb-scientific-5d4734ea98c9d333 | a39f3a02eebe062c2ff4dac382f74ecb609e2c30755e1a7a57d821fb10c8d871 | ncb-sem-c3d285b10c7a0e2f | asd | [
"ncb21-task-c1d31cf0f21d21b0"
] |
[
"pubmed_35753120_pmid35753120_1"
] | ambiguous_unresolved | ncb-scientific-5d5fd40a49dbf782 | scientific | ncb-claim-1b00a7f6d0275991 | {
"claim_id": "pubmed_35753120_pmid35753120_1",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "BSNIP2_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_",
"predict... | 5d5fd40a49dbf782645572714c9237709a98147ddd0551217a75c6523f448980 | ambiguous_unresolved | fMRI-FC | 5d5fd40a49dbf782645572714c9237709a98147ddd0551217a75c6523f448980 | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:35753120; DOI:10.1016/j.schres.2022.06.008",
"source_collection": "stage2_current",
"source_id": "pubmed_35753120_pmid35753120_1",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all-gpt55/combine... | For literature-grounded psychosis patients versus healthy controls effect on salience network functional connectivity in right SMA and bilateral putamen in resting-state fMRI functional connectivity identified with independent component analysis, using BSNIP2 as discovery and COBRE as replication, test the claim with e... | 7d735f060bdfde041f86ef115219ea9d17daa9c3b64bd2d9778e02a656ed6e10 | ncb-scientific-5d5fd40a49dbf782 | d0efee7c041d65c92c01fbdd8992db40c3e6e436c280efb680300082b69a13fd | ncb-sem-1b00a7f6d0275991 | psychosis | [] |
[
"asd_q021"
] | aligned_with_safety_augmentation | ncb-scientific-5e6aa7181e35b605 | scientific | ncb-claim-77e0b8089e3a4a66 | {
"claim_id": "asd_q021",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_SalVentAttn",
"predic... | 5e6aa7181e35b6057dcfa0b2ef30e1accaf27ffa30c7110a71e05a7d42cd2bf4 | ready | fMRI-FC | 5e6aa7181e35b6057dcfa0b2ef30e1accaf27ffa30c7110a71e05a7d42cd2bf4 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q021",
"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_SalVentAttn differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 9dbb04d49595ab31799f0dff4ca9d3191283f2fe277327880665d6e8e5da2ea7 | ncb-scientific-5e6aa7181e35b605 | 2c09d04c1120857aecd0dcb6e15970743a11a4da5e328c593d3c4e7928ffd244 | ncb-sem-77e0b8089e3a4a66 | asd | [
"ncb21-task-a18bfcd804ec2d1e"
] |
[
"psychosis_q008"
] | aligned_with_safety_augmentation | ncb-scientific-5e9d9106292eb159 | scientific | ncb-claim-a44d2718db4923a4 | {
"claim_id": "psychosis_q008",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "BSNIP2_REP",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_between_network",
"predicto... | 5e9d9106292eb159971d41de9ac66f7064ff9c67b369099bff308886a86ec58b | ready | fMRI-FC | 5e9d9106292eb159971d41de9ac66f7064ff9c67b369099bff308886a86ec58b | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q008",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In BSNIP2_REP, do SZ and HC groups differ in fc_between_network in an unadjusted dx-only comparison with no covariates? | 539b160493847b933e8d92aaf045515cc705c8b11a9796de97cf167c53cba37d | ncb-scientific-5e9d9106292eb159 | 298e9158fa037cf9e1e95471f0ab0f7d06eb5bc02db17c8a87a48d226a8bacd1 | ncb-sem-a44d2718db4923a4 | psychosis | [
"ncb21-task-9de8790b14dd8e89"
] |
[
"psychosis_q044"
] | aligned | ncb-scientific-60bd3b9afd76e376 | scientific | ncb-claim-2ccad72c3141229c | {
"claim_id": "psychosis_q044",
"covariates": [],
"discovery_cohort": "ChineseSZ_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_between_network",
"predictor": "confirm_dx",
"region_se... | 60bd3b9afd76e37677bdfbacb0a6c8d31b310fd8b253df9b469f8298452d68fa | ready | fMRI-FC | 60bd3b9afd76e37677bdfbacb0a6c8d31b310fd8b253df9b469f8298452d68fa | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q044",
"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_between_network directionally consistent in unadjusted comparisons with dx as the only predictor and no covariates? | be6b3e914569ab0930ffb0039689950636d0eb0c51e649d0493511c4b72ad7cd | ncb-scientific-60bd3b9afd76e376 | fb5490c0f9830bab67ec304a1909322e1353331b5565a5c9acb64000b9de418d | ncb-sem-2ccad72c3141229c | psychosis | [
"ncb21-task-5bce015b2edbdfbc"
] |
[
"psychosis_q031"
] | aligned_with_safety_augmentation | ncb-scientific-611e67de29172a34 | scientific | ncb-claim-2166e66544e56e96 | {
"claim_id": "psychosis_q031",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "FBIRN_REP",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_within_network",
"predictor":... | 611e67de29172a34127865843ed7fbb0a3c674cbea476eacda530d3d8c5a9abf | ready | fMRI-FC | 611e67de29172a34127865843ed7fbb0a3c674cbea476eacda530d3d8c5a9abf | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q031",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In FBIRN_REP, is fc_within_network lower in SZ than HC in an unadjusted group comparison with dx as the only predictor and no covariates? | 83f61ceb13a1f77475c2bafa9ca9a6ce4041c1d2c98a28e1cd7fd503422ef111 | ncb-scientific-611e67de29172a34 | fed36af8583bc05b8a84fd38a7299acbb0033fe255d20701d5a660daacef9695 | ncb-sem-2166e66544e56e96 | psychosis | [
"ncb21-task-c2e929cb5553adf2"
] |
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