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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"adhd_fc_adhd200_site_split"
] | aligned | ncb-scientific-b0c4c5f349a00064 | scientific | ncb-claim-8aa8d317c6056cb0 | {
"claim_id": "adhd_fc_adhd200_site_split",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_",
"predic... | b0c4c5f349a00064aea1e57a9ed87aecb684446116668a035a31fe7e2c25d086 | ready | fMRI-FC | b0c4c5f349a00064aea1e57a9ed87aecb684446116668a035a31fe7e2c25d086 | [
{
"prior_label": "fragile",
"source_citation": "ADHD-200 Consortium 2012",
"source_collection": "legacy_scientific",
"source_id": "adhd_fc_adhd200_site_split",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "adhd"
}
] | For ADHD case-control FC site-split in fMRI-FC, using ADHD200 site A as discovery and ADHD200 site B as replication, test the claim with expected direction two_sided and adjust for age;sex;site required when available. | 9327ba43db3c8bfc32447c21feb8dc1e9768bab3c87baf1277fd377f3c97333f | ncb-scientific-b0c4c5f349a00064 | 5ac814cd691bf1e1d14eefa1e9906a7d06312319770893c6522f733b0db25bd9 | ncb-sem-8aa8d317c6056cb0 | adhd | [
"ncb21-task-2f198bcbf0cf7b42"
] |
[
"brain_aging_hippocampus_adni_oasis3_cn"
] | aligned_with_safety_augmentation | ncb-scientific-b22524a12bd4a0b9 | scientific | ncb-claim-f3e4911f433998d2 | {
"claim_id": "brain_aging_hippocampus_adni_oasis3_cn",
"covariates": [
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "negative",
"group": null,
"outcome": "smri_hippocampus",
"predictor": "age",
"region_set": null,
"type": "associatio... | b22524a12bd4a0b93a1526df97ea32199d9f08beef37d943ae1d4f7942ff7f5b | ready | sMRI | b22524a12bd4a0b93a1526df97ea32199d9f08beef37d943ae1d4f7942ff7f5b | [
{
"prior_label": "known_positive",
"source_citation": "Fjell and Walhovd 2010 Reviews in the Neurosciences",
"source_collection": "legacy_scientific",
"source_id": "brain_aging_hippocampus_adni_oasis3_cn",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",... | For brain aging hippocampal atrophy in CN adults in sMRI, using ADNI_CN as discovery and OASIS3_CN as replication, test the claim with expected direction negative and adjust for sex;eTIV when available. | 5942338980a08aaa9cf5e973661fe3df2a80114b60ce0dee3ca67136ccb9b2ba | ncb-scientific-b22524a12bd4a0b9 | 48fe341ebfe1749a66fa45d30b851fb60d4cfa44272f1de27e7ba3c8f0c6d8cc | ncb-sem-f3e4911f433998d2 | ad_aging | [
"ncb21-task-6110eb85e2d7580c"
] |
[
"ad_wholebrain_atrophy_adni_oasis3"
] | aligned_with_safety_augmentation | ncb-scientific-b274fb2db756fa8f | scientific | ncb-claim-1aa85065ed1b8153 | {
"claim_id": "ad_wholebrain_atrophy_adni_oasis3",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "smri_... | b274fb2db756fa8fbe67b5bf4c76aa14a96203ae5a5dae6222358380236562c8 | ready | sMRI | b274fb2db756fa8fbe67b5bf4c76aa14a96203ae5a5dae6222358380236562c8 | [
{
"prior_label": "known_positive",
"source_citation": "Jack et al. 2018 Alzheimer's & Dementia",
"source_collection": "legacy_scientific",
"source_id": "ad_wholebrain_atrophy_adni_oasis3",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_fami... | For AD whole-brain 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. | 27b3b8973c48886671e13c09f7aba0b67e26d1c85bbef694fcd3d27c23592a03 | ncb-scientific-b274fb2db756fa8f | ff8bfd8203bb2bd391fa1648d6dbf623a40c3bf3da0729e591de7a2d8fbe2678 | ncb-sem-1aa85065ed1b8153 | ad_aging | [
"ncb21-task-875cfcac9041998a"
] |
[
"asd_q003"
] | aligned_with_safety_augmentation | ncb-scientific-b2bc1b3dc8d74234 | scientific | ncb-claim-2166e66544e56e96 | {
"claim_id": "asd_q003",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE1_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_within_network",
"predictor": "co... | b2bc1b3dc8d742349867f9f8a7e42fb3186657691ec0e71f041febf9a92913f6 | ready | fMRI-FC | b2bc1b3dc8d742349867f9f8a7e42fb3186657691ec0e71f041febf9a92913f6 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q003",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "asd"
}
] | In ABIDE1_DISC, with replication assessed in ABIDE1_REP, is fc_within_network lower in ASD than HC participants using dx as the predictor and no additional covariates? | dca138f48aa414436004e49ce89d984b557b2c9ddba97052b8a4ec9f2e1f8b8f | ncb-scientific-b2bc1b3dc8d74234 | 52d55c3f9660db4205ad27aba335895f8377bbd49b6fd0702300d037ab85e620 | ncb-sem-2166e66544e56e96 | asd | [
"ncb21-task-9844744e93e5574c"
] |
[
"pubmed_29653095_29653095-psychosis-fc-02"
] | ambiguous_unresolved | ncb-scientific-b336c91ebd2e082c | scientific | ncb-claim-71354e62dc1c127c | {
"claim_id": "pubmed_29653095_29653095-psychosis-fc-02",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "BSNIP2_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_",
... | b336c91ebd2e082c670facfa74d1a9ee136e61e29d1305f2d91cecac8b77f04c | ambiguous_unresolved | fMRI-FC | b336c91ebd2e082c670facfa74d1a9ee136e61e29d1305f2d91cecac8b77f04c | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:29653095; DOI:10.1016/j.bpsc.2016.07.001",
"source_collection": "stage2_current",
"source_id": "pubmed_29653095_29653095-psychosis-fc-02",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all-gpt55... | For literature-grounded Relatives of psychosis probands versus healthy controls effect on large-scale resting-state network connectivity 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. | a0b8ab25b35aae132950a5e2d0a3008dec101dc4a40471771db13c4c6ec07fde | ncb-scientific-b336c91ebd2e082c | 43b855c64b7c2cc5f63a22df184254771d788f101b301cfd61e9e920bdaa187a | ncb-sem-71354e62dc1c127c | psychosis | [] |
[
"pubmed_26306871_pmid26306871_widespread_dementiaad_smri"
] | aligned | ncb-scientific-b5c857772b8292df | scientific | ncb-claim-4ea2939f05829de6 | {
"claim_id": "pubmed_26306871_pmid26306871_widespread_dementiaad_smri",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcom... | b5c857772b8292dff93bcb95c7fb4c0be82f61504c26048b086fe5058608e8d9 | ready | sMRI | b5c857772b8292dff93bcb95c7fb4c0be82f61504c26048b086fe5058608e8d9 | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:26306871; DOI:10.1016/j.neuroscience.2015.08.033",
"source_collection": "stage2_current",
"source_id": "pubmed_26306871_pmid26306871_widespread_dementiaad_smri",
"source_mode": "literature_grounded",
"source_path": "review-stage/... | For literature-grounded dementia-stage Alzheimer's disease versus earlier-stage AD or non-AD comparison effect on hippocampal subfield morphology / widespread hippocampal 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 ... | 90428df4575c3939485af537eb6e2acb18986adeb5e47bd44912091fa7fd1bf5 | ncb-scientific-b5c857772b8292df | 3721ff6d1e234b4afdbc165fb6b70abb10b570b3715617de4b60a05e9fd1da25 | ncb-sem-4ea2939f05829de6 | ad_aging | [
"ncb21-task-9b0ef08d451df5cf"
] |
[
"adhd_q033"
] | aligned | ncb-scientific-b6bcaf52ce24d411 | scientific | ncb-claim-c9eae7560a1dd465 | {
"claim_id": "adhd_q033",
"covariates": [],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_DorsAttn_Vis_z",
"predictor": "confirm_dx",
"region_set": null... | b6bcaf52ce24d41101405c05556ff4df7a5cf370d247fb9fbe590d817921a011 | ready | fMRI-FC | b6bcaf52ce24d41101405c05556ff4df7a5cf370d247fb9fbe590d817921a011 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q033",
"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 DorsalAttention-Visual connectivity (fc_fc_DorsAttn_Vis_z), with no additional covariates? | 4534f60aebd59bf411dff332e7d4aa2e530c34c5d20aafc1bd860b07358677cb | ncb-scientific-b6bcaf52ce24d411 | 93603ccca3b3f6804922643703b6d1b7114815aa09b22a6552ac7771422f096e | ncb-sem-c9eae7560a1dd465 | adhd | [
"ncb21-task-4958fc673b892c35"
] |
[
"ad_aging_q017"
] | ambiguous_unresolved | ncb-scientific-b9f9592e3da6c9ce | scientific | ncb-claim-33fa545d5c370d9d | {
"claim_id": "ad_aging_q017",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "positive",
"group": null,
"outcome": "pet_av45",
"predictor": "beh_cdrsb",
"region_set": null,
"type": "association",
"unit": ... | b9f9592e3da6c9ce77d0e6e3333175a7516b0e2a5a750a9dac682d3f3f346101 | ambiguous_unresolved | PET | b9f9592e3da6c9ce77d0e6e3333175a7516b0e2a5a750a9dac682d3f3f346101 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q017",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In ADNI_DISC, with ADNI_REP as a replication cohort, is increasing clinical impairment from CN to MCI to Dementia associated with progressively higher pet_av45, adjusting for age and sex? | 9e31866f2bfdbe9a9189074872350ca77b8569ba9774d762b0d2b25f9dab3c33 | ncb-scientific-b9f9592e3da6c9ce | 2bac9ed1877c8bf83ff4f028e6096d6245a584b2f4fccaa1f5f5b5ae7d9ad0b3 | ncb-sem-33fa545d5c370d9d | ad_aging | [] |
[
"sz_fc_mean_abs_cobre_fbirn"
] | aligned_with_safety_augmentation | ncb-scientific-ba299f6826289883 | scientific | ncb-claim-bcd31e36404b748e | {
"claim_id": "sz_fc_mean_abs_cobre_fbirn",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "COBRE_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_mean_abs",
"pred... | ba299f6826289883e4daa74fa09ab631467ffc5d4032e7a7f330ebbddd782bc0 | ready | fMRI-FC | ba299f6826289883e4daa74fa09ab631467ffc5d4032e7a7f330ebbddd782bc0 | [
{
"prior_label": "known_positive",
"source_citation": "Pettersson-Yeo et al. 2011 Neuroscience and Biobehavioral Reviews",
"source_collection": "legacy_scientific",
"source_id": "sz_fc_mean_abs_cobre_fbirn",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv... | For SZ reduced mean absolute FC in fMRI-FC, using COBRE as discovery and FBIRN as replication, test the claim with expected direction negative SZ minus HC on fc_mean_abs and adjust for age;sex when available. | 6dc660eb115b8567babb0efbb128481762eda0174302a2dc5c791c7e412315c5 | ncb-scientific-ba299f6826289883 | 06f6c06f61d12ba41f9edaffd5ddd520005aaab0eac6469eff6067812b325333 | ncb-sem-bcd31e36404b748e | psychosis | [
"ncb21-task-e74a3902d3daab80"
] |
[
"pubmed_36403658_pmid36403658_adhd_dmn_fc"
] | ambiguous_unresolved | ncb-scientific-bace4c130b60ece5 | scientific | ncb-claim-cec2648b1254f921 | {
"claim_id": "pubmed_36403658_pmid36403658_adhd_dmn_fc",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": [
"f... | bace4c130b60ece50157fd3d6ec0b0e4244cf860559cbcb48aa4a9e499ab497d | ambiguous_unresolved | fMRI-FC | bace4c130b60ece50157fd3d6ec0b0e4244cf860559cbcb48aa4a9e499ab497d | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:36403658; DOI:10.1016/j.neuropsychologia.2022.108418",
"source_collection": "stage2_current",
"source_id": "pubmed_36403658_pmid36403658_adhd_dmn_fc",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gat... | For literature-grounded social phobia adolescents with ADHD comorbidity versus social phobia adolescents without ADHD comorbidity effect on default mode network functional connectivity in resting-state fMRI functional connectivity, using ABCD as discovery and ADHD200 as replication, test the claim with expected directi... | 4e4a0ac838fc49628b0d6d5048b129e48f6035d11d7f896f927145106a42119a | ncb-scientific-bace4c130b60ece5 | 8f9662147729b791c8256fc5325ffcd4b256102185984ed4cc0c8242321c80f8 | ncb-sem-cec2648b1254f921 | adhd | [] |
[
"normative_fmri_018"
] | aligned_with_safety_augmentation | ncb-scientific-bc6d05b49560e9df | scientific | ncb-claim-ea2068ac2f31ae27 | {
"claim_id": "normative_fmri_018",
"covariates": [
"age",
"phen_fluid_composite",
"site"
],
"discovery_cohort": "HCP_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "F",
"control": "M",
"var": "sex"
},
"outcome": "fc_fc_SalVentAttn_SalVentAttn_z... | bc6d05b49560e9df556c27a32ce7b1ba5f9f2ef45e09a11867a8804906ed9dcf | ready | fMRI-FC | bc6d05b49560e9df556c27a32ce7b1ba5f9f2ef45e09a11867a8804906ed9dcf | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_018",
"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 salience/ventral-attention within-network connectivity (fc_fc_SalVentAttn_SalVentAttn_z), adjusting for age and cognition? | dee65f72a47aff4d0e1ccbb29ba0c69bb7893bc2d8fbf51e2549b1c4bcdcbaa5 | ncb-scientific-bc6d05b49560e9df | b004c255aa05390f098fb8b1cf40293d5b8f8a7644484f581710a21cd45094bf | ncb-sem-ea2068ac2f31ae27 | normative_fmri | [
"ncb21-task-2a7a3de6b7d503b4"
] |
[
"ad_aging_q021"
] | aligned_with_safety_augmentation | ncb-scientific-bd78b101a1f87be6 | scientific | ncb-claim-d295d09b83e74459 | {
"claim_id": "ad_aging_q021",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "OASIS3_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "smri_hippocampus",
... | bd78b101a1f87be6fe2c3e88d31dc8e50bef5aafe3295b714c8df459f8c341e0 | ready | sMRI | bd78b101a1f87be6fe2c3e88d31dc8e50bef5aafe3295b714c8df459f8c341e0 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q021",
"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_hippocampus than CN, adjusting for age and sex? | ede7da991590f91e4bbee4c1cb0c6aec50937e0298fdeefea66c0e15a76c71b7 | ncb-scientific-bd78b101a1f87be6 | 967b36b83187dc88df269ee0933d9e7ff8768454244e7a8113d4fa3d2f411668 | ncb-sem-d295d09b83e74459 | ad_aging | [
"ncb21-task-76fc7b6b4604ef89"
] |
[
"pubmed_21729419_pmid21729419_1"
] | aligned | ncb-scientific-bdabe2252485052d | scientific | ncb-claim-35760c43a2264071 | {
"claim_id": "pubmed_21729419_pmid21729419_1",
"covariates": [
"age",
"eTIV",
"sex"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "positive",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "smri_",
"predict... | bdabe2252485052d7dc57af8fa2e2b0c2ff1a6f8ceb218cf47d53bc6ff965cdd | ready | sMRI | bdabe2252485052d7dc57af8fa2e2b0c2ff1a6f8ceb218cf47d53bc6ff965cdd | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:21729419; DOI:10.1017/S1041610211000913",
"source_collection": "stage2_current",
"source_id": "pubmed_21729419_pmid21729419_1",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_b... | For literature-grounded clinical dementia diagnosis or dementia-related disease group effect on regional/global cortical atrophy in sMRI, using ADNI as discovery and OASIS3 as replication, test the claim with expected direction positive and adjust for age;eTIV;sex when available. | afdd0d516b0e02ac11ff3e32a5a41532121f371c8b0d407f13ce0e2c6f41a3af | ncb-scientific-bdabe2252485052d | 29980e4edc1ac46d117411d465e4ad43940dcb1be6bc2c4567f937bab48780ea | ncb-sem-35760c43a2264071 | ad_aging | [
"ncb21-task-57c0fb95d68b794c"
] |
[
"adhd_q009"
] | aligned_with_safety_augmentation | ncb-scientific-bdc24737aa23b682 | scientific | ncb-claim-a93e2fa433789220 | {
"claim_id": "adhd_q009",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Limbic_SalVentAttn_z",
"predic... | bdc24737aa23b68213ee1a77d82e33597f5039ce548624b69e5675e7b1b02b18 | ready | fMRI-FC | bdc24737aa23b68213ee1a77d82e33597f5039ce548624b69e5675e7b1b02b18 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q009",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ABCD_DISC, excluding missing dx, is ADHD status (dx=1.0 vs dx=0.0) associated with altered Limbic-Salience/VentralAttention connectivity (fc_fc_Limbic_SalVentAttn_z), with no additional covariates, and does the association replicate in ABCD_REP? | 19f7933999dbf034aab1cba658fd2ba657b5373ecc87b7b0805823638f64981a | ncb-scientific-bdc24737aa23b682 | b4d5415534cce368be98149cf72e0a4b63cabf56605c95d53afa73d2cf9a1d1f | ncb-sem-a93e2fa433789220 | adhd | [
"ncb21-task-2de1487414a9935d"
] |
[
"adhd_q016"
] | aligned | ncb-scientific-bdd01753f9ebb90c | scientific | ncb-claim-01555b96f5ff8e0a | {
"claim_id": "adhd_q016",
"covariates": [],
"discovery_cohort": "ADHD200_DISC",
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"group": {
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},
"outcome": "fc_fc_Cont_DorsAttn_z",
"predictor": "confirm_dx",
"region_set": n... | bdd01753f9ebb90c217a505dcc5198d851aee4b3c3450e682d1615f35e5dd44c | ready | fMRI-FC | bdd01753f9ebb90c217a505dcc5198d851aee4b3c3450e682d1615f35e5dd44c | [
{
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"source_id": "adhd_q016",
"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 lower Control-DorsalAttention connectivity (fc_fc_Cont_DorsAttn_z), with no additional covariates, and is this direction replicated in ADHD200_REP? | c0c3136ae13104aee5f285b829af93f0169b1b014dbf9d271372f37ae8fa88ae | ncb-scientific-bdd01753f9ebb90c | 3c4e0dd4c3da2ffbbe9f17a1ccfe1369e3536e836b048d0b1367da3b5ba30254 | ncb-sem-01555b96f5ff8e0a | adhd | [
"ncb21-task-d6d1c76b3d01b0bd"
] |
[
"ad_aging_q007"
] | ambiguous_unresolved | ncb-scientific-be6c2a9394bf0498 | scientific | ncb-claim-c7d492887bd930e8 | {
"claim_id": "ad_aging_q007",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "negative",
"group": null,
"outcome": "smri_hippocampus",
"predictor": "beh_cdrsb",
"region_set": null,
"type": "association",
... | be6c2a9394bf0498514b7f9b8a7c090d0eecae63bc6a4851a3b2daab83152219 | ambiguous_unresolved | sMRI | be6c2a9394bf0498514b7f9b8a7c090d0eecae63bc6a4851a3b2daab83152219 | [
{
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In ADNI_DISC, with ADNI_REP as a replication cohort, is increasing clinical impairment from CN to MCI to Dementia associated with progressively lower smri_hippocampus, adjusting for age and sex? | 10c81700d8723ab87ddfb3fe5342761a768d8bf9c254994d5b9db9c5f2661c95 | ncb-scientific-be6c2a9394bf0498 | 2edb5d8fa5b83c1c9db42020a371ebda6135c3cfc6a2842f86f95593b4193e38 | ncb-sem-c7d492887bd930e8 | ad_aging | [] |
[
"asd_q049"
] | aligned_with_safety_augmentation | ncb-scientific-be9238714808b664 | scientific | ncb-claim-63f13b156feb0458 | {
"claim_id": "asd_q049",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
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"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_SalVentAttn_z",
"pred... | be9238714808b66402159f2c45825993dd00eadd147b39f453e2e7e450668e79 | ready | fMRI-FC | be9238714808b66402159f2c45825993dd00eadd147b39f453e2e7e450668e79 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
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"source_id": "asd_q049",
"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_z differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | b3fa42d2a630ebc3caa7c74fb7cbd7662c049cc3c860cb5ce03902ac58d726a8 | ncb-scientific-be9238714808b664 | f4f5fce5721cac343ee2ceb3ff15aaf6f61f515a0a4ed97faeb874be0e847473 | ncb-sem-63f13b156feb0458 | asd | [
"ncb21-task-ceeb9f8bb890690b"
] |
[
"ad_aging_q029"
] | aligned_with_safety_augmentation | ncb-scientific-bf6a4a4dabf8357f | scientific | ncb-claim-35771173cccac1ce | {
"claim_id": "ad_aging_q029",
"covariates": [
"sex",
"eTIV",
"site"
],
"discovery_cohort": "OASIS3_DISC",
"estimand": {
"direction": "negative",
"group": null,
"outcome": "smri_wholebrain",
"predictor": "age",
"region_set": null,
"type": "association",
"unit": "scalar"... | bf6a4a4dabf8357f31e6a07ae1504771c332c4ed81929fb895a09609631d5866 | ready | sMRI | bf6a4a4dabf8357f31e6a07ae1504771c332c4ed81929fb895a09609631d5866 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q029",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In OASIS3_DISC, among CN participants, is older age associated with lower smri_wholebrain, adjusting for sex? | 471346971a5ea41cfb190c9fabcbd47a7800e7ac5bf957af51dac02889ff6aba | ncb-scientific-bf6a4a4dabf8357f | 5431056f103431ae8623f219ada1d4abec04b25cb89eaceb664b3c61380a9985 | ncb-sem-35771173cccac1ce | ad_aging | [
"ncb21-task-fb80325a3bdd78f7"
] |
[
"pubmed_34183210_pmid34183210_1"
] | ambiguous_unresolved | ncb-scientific-c1112f228bb27f06 | scientific | ncb-claim-19a40eeeb50e9d61 | {
"claim_id": "pubmed_34183210_pmid34183210_1",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "BSNIP2_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_",
"predict... | c1112f228bb27f06f18f32376d89a4b816fcc7df2f53487617d65faedc726ef5 | ambiguous_unresolved | fMRI-FC | c1112f228bb27f06f18f32376d89a4b816fcc7df2f53487617d65faedc726ef5 | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:34183210; DOI:10.1016/j.schres.2021.06.010",
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"source_id": "pubmed_34183210_pmid34183210_1",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all-gpt55/combine... | For literature-grounded breakthrough psychosis relapse on ongoing antipsychotic maintenance vs healthy controls effect on striatal resting-state functional connectivity / striatal connectivity index in fMRI-FC, using BSNIP2 as discovery and COBRE as replication, test the claim with expected direction negative and adjus... | 3e8049b7ffb2a51555b02995586bc5ac758cba8fc9b0e435c93488e887e2ff70 | ncb-scientific-c1112f228bb27f06 | 13f948aa9761a6df676c1a656b12123f767ca72101992773231b95bb65b418b7 | ncb-sem-19a40eeeb50e9d61 | psychosis | [] |
[
"normative_fmri_033"
] | aligned_with_safety_augmentation | ncb-scientific-c1b8f2bee08cd388 | scientific | ncb-claim-5963ec53b7af56d7 | {
"claim_id": "normative_fmri_033",
"covariates": [
"sex",
"phen_fluid_composite",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "negative",
"group": null,
"outcome": "fc_fc_Default_DorsAttn_z",
"predictor": "age",
"region_set": null,
"type": "associ... | c1b8f2bee08cd3885ae393bad4189abe4f6f306525a43073ef666674c49e6e5a | ready | fMRI-FC | c1b8f2bee08cd3885ae393bad4189abe4f6f306525a43073ef666674c49e6e5a | [
{
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"source_citation": "llm_proposed",
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | Among ABCD participants with dx=0.0, in ABCD_DISC with replication in ABCD_REP, is higher age associated with lower default-mode to dorsal-attention connectivity (fc_fc_Default_DorsAttn_z), adjusting for sex and cognition? | bbb2f5d0337d98ca21d01363117c8802166d00564d52138fc36095d6b7896a14 | ncb-scientific-c1b8f2bee08cd388 | 8c0792a412bce1cdbee17765d082e161d376aeeb834a9e479c512f09a5e9ac72 | ncb-sem-5963ec53b7af56d7 | normative_fmri | [
"ncb21-task-0244deeb8ae44e7b"
] |
[
"ad_aging_q018"
] | ambiguous_unresolved | ncb-scientific-c2b02d58d24ba60d | scientific | ncb-claim-46482d6107f7b115 | {
"claim_id": "ad_aging_q018",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
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"group": null,
"outcome": "pet_fdg_suvr",
"predictor": "beh_cdrsb",
"region_set": null,
"type": "association",
"uni... | c2b02d58d24ba60daf2b0fab1860326813cfd95d682e7e00098e44931d13b8a2 | ambiguous_unresolved | PET | c2b02d58d24ba60daf2b0fab1860326813cfd95d682e7e00098e44931d13b8a2 | [
{
"prior_label": "candidate_unknown",
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"source_id": "ad_aging_q018",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In ADNI_DISC, with ADNI_REP as a replication cohort, is increasing clinical impairment from CN to MCI to Dementia associated with progressively lower pet_fdg_suvr, adjusting for age and sex? | c6fc271e53fb2d68fd2b594f1ca2451ed500ac56580dfd87511ad028dd86246b | ncb-scientific-c2b02d58d24ba60d | 6942871f45fb044cbe81a6633afa1dfb0a6a05fe3e73cbe2576817576e8ad9da | ncb-sem-46482d6107f7b115 | ad_aging | [] |
[
"pubmed_35388950_pmid35388950_ad_havas_detection"
] | aligned | ncb-scientific-c3a081875a1cf586 | scientific | ncb-claim-6c7a1e7db4b6dcd5 | {
"claim_id": "pubmed_35388950_pmid35388950_ad_havas_detection",
"covariates": [
"age",
"eTIV",
"sex"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "positive",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "smr... | c3a081875a1cf586a007ce8ca93186b5680d0217ed8d6cb1ee78167cf39f91bb | ready | sMRI | c3a081875a1cf586a007ce8ca93186b5680d0217ed8d6cb1ee78167cf39f91bb | [
{
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"source_collection": "stage2_current",
"source_id": "pubmed_35388950_pmid35388950_ad_havas_detection",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all-gpt55/c... | For literature-grounded Higher HAVAs / Alzheimer disease versus control status effect on Alzheimer disease detection / diagnostic classification in sMRI volumetric MRI, using ADNI as discovery and OASIS3 as replication, test the claim with expected direction positive and adjust for age;eTIV;sex when available. | f53f8e95dae61c20b6955e509af8491a6986c33474734d95c5ddad01b32666c6 | ncb-scientific-c3a081875a1cf586 | 536c28b3f83e9d521d3da2f902f7291bd66d3a5761f155fc269b3c36996e62fb | ncb-sem-6c7a1e7db4b6dcd5 | ad_aging | [
"ncb21-task-61b1b74fe9df4b4f"
] |
[
"asd_q038"
] | aligned_with_safety_augmentation | ncb-scientific-c631e745a39a4c34 | scientific | ncb-claim-36d900948ef5a6c9 | {
"claim_id": "asd_q038",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Vis_Vis",
"predictor": "confi... | c631e745a39a4c34b7a2b47ee20ac723363fb4d3f247ba63938ada9c0511f640 | ready | fMRI-FC | c631e745a39a4c34b7a2b47ee20ac723363fb4d3f247ba63938ada9c0511f640 | [
{
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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_Vis_Vis differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | fafd5037b8601c23c53be1427181a301e0c7cb55c0ce7ed82f6c3f9c922fedde | ncb-scientific-c631e745a39a4c34 | d58de6cb3567b771970ef7e1781d5993de3bfdc0c51b47480687006ae9781bf5 | ncb-sem-36d900948ef5a6c9 | asd | [
"ncb21-task-2378bd6a4aa6d917"
] |
[
"adhd_q031"
] | aligned_with_safety_augmentation | ncb-scientific-c64dac21d8591104 | scientific | ncb-claim-4297ac55ed4096d3 | {
"claim_id": "adhd_q031",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
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"group": {
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"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Limbic_Vis_z",
"predictor": "c... | c64dac21d8591104aa2912c0fc623cb3df7ae2fad45f89683dcc7f18692dc403 | ready | fMRI-FC | c64dac21d8591104aa2912c0fc623cb3df7ae2fad45f89683dcc7f18692dc403 | [
{
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"source_collection": "stage2_current",
"source_id": "adhd_q031",
"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, do ADHD cases (dx=1.0) differ from controls (dx=0.0) in Limbic-Visual connectivity (fc_fc_Limbic_Vis_z), with no additional covariates? | 4037e2e75b04cd9206d8c402d57a297ff5c80638d0578700e00a403422e06da0 | ncb-scientific-c64dac21d8591104 | c324ba257320a23e560e6c562bf89909368d9cd09f43cd48515fe66601be4753 | ncb-sem-4297ac55ed4096d3 | adhd | [
"ncb21-task-a32df69d3ffcf15e"
] |
[
"pubmed_29653095_29653095-psychosis-fc-01"
] | aligned | ncb-scientific-c671d3de1b2734cb | scientific | ncb-claim-71354e62dc1c127c | {
"claim_id": "pubmed_29653095_29653095-psychosis-fc-01",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "BSNIP2_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_",
... | c671d3de1b2734cb8e64ccc55fdd15ea4118e551d604845c6f756f7b71f7ba43 | ready | fMRI-FC | c671d3de1b2734cb8e64ccc55fdd15ea4118e551d604845c6f756f7b71f7ba43 | [
{
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"source_collection": "stage2_current",
"source_id": "pubmed_29653095_29653095-psychosis-fc-01",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all-gpt55... | For literature-grounded Psychosis probands versus healthy controls effect on large-scale resting-state network connectivity 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. | 54acffd20c41e9a0c533f35de4add5b79743714fedc400c8ca10b2f70357ed1f | ncb-scientific-c671d3de1b2734cb | 43b855c64b7c2cc5f63a22df184254771d788f101b301cfd61e9e920bdaa187a | ncb-sem-71354e62dc1c127c | psychosis | [
"ncb21-task-2af7eda20deedfc3"
] |
[
"asd_q041"
] | aligned_with_safety_augmentation | ncb-scientific-c823298f5f12df8a | scientific | ncb-claim-7b2670c1d81fe2d1 | {
"claim_id": "asd_q041",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Cont_DorsAttn_z",
"predictor"... | c823298f5f12df8af07efc39e57413ee6b375c5f9f95bf060e712101c70c15cd | ready | fMRI-FC | c823298f5f12df8af07efc39e57413ee6b375c5f9f95bf060e712101c70c15cd | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
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"source_id": "asd_q041",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "asd"
}
] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_Cont_DorsAttn_z differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 82b424dd24392485dfe0585b2ac8274ad9969c38a52bb25afb4c2cb29a0b96dc | ncb-scientific-c823298f5f12df8a | ee197ababc2ae9042952f1fd8de0b47a4193ab15f3f80c00617bbda61704bbe2 | ncb-sem-7b2670c1d81fe2d1 | asd | [
"ncb21-task-f881acc3dcf78298"
] |
[
"age_fc_ukb_hcpaging"
] | aligned | ncb-scientific-c82528795d17b7c6 | scientific | ncb-claim-be8fecd97effd5a6 | {
"claim_id": "age_fc_ukb_hcpaging",
"covariates": [
"sex",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
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"group": null,
"outcome": "fc_fc_",
"predictor": "age",
"region_set": "fMRI-FC_descriptors",
"type": "association",
"unit": "brainwi... | c82528795d17b7c659e88c258f82c4bdc65f014ab3c9395aebbff53f8ce8f938 | ready | fMRI-FC | c82528795d17b7c659e88c258f82c4bdc65f014ab3c9395aebbff53f8ce8f938 | [
{
"prior_label": "candidate_unknown",
"source_citation": "Fjell and Walhovd 2010 review [VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "age_fc_ukb_hcpaging",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "normat... | For age association with FC descriptors in fMRI-FC, using UKB as discovery and HCP_Aging as replication, test the claim with expected direction two_sided and adjust for sex;site when available. | f6b397b4b28300ff4f43288ee09466e26e46a3a6b5a4c1b1c606378f878bfc21 | ncb-scientific-c82528795d17b7c6 | e9532af40954d25b3a29ccf7428e612faad30103af352d45ed7f18c563be564d | ncb-sem-be8fecd97effd5a6 | normative_fmri | [
"ncb21-task-3ae580adaf8733fe"
] |
[
"ad_aging_q022"
] | aligned_with_safety_augmentation | ncb-scientific-c865d685dc0a2c5f | scientific | ncb-claim-ed01d7c380e3f82b | {
"claim_id": "ad_aging_q022",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "OASIS3_DISC",
"estimand": {
"direction": "negative",
"group": {
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"control": "control",
"var": "confirm_dx"
},
"outcome": "smri_entorhinal",
"... | c865d685dc0a2c5f04eeb7dc04fd4ed41e08db9bc66836e61819a499843a0b59 | ready | sMRI | c865d685dc0a2c5f04eeb7dc04fd4ed41e08db9bc66836e61819a499843a0b59 | [
{
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... | In OASIS3_DISC, with OASIS3_REP as a replication cohort, is Dementia associated with lower smri_entorhinal than CN, adjusting for age and sex? | f5d8c73a9e5538cc47bcab0348b439234a57f53b31b88b1a360749270bd2dc25 | ncb-scientific-c865d685dc0a2c5f | 91684ea73962378d4810a497d31e9c5d4ff40e7c677bee88082ac6ff19469054 | ncb-sem-ed01d7c380e3f82b | ad_aging | [
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[
"pubmed_31265198_pmid31265198_fc_adhd_vs_tdc"
] | aligned | ncb-scientific-c8acae9508ef35fd | scientific | ncb-claim-1671056a239d54c1 | {
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{
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[
"adhd_q003"
] | aligned | ncb-scientific-c8faa8d62af041ef | scientific | ncb-claim-d1d63849392e8fad | {
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{
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] | In ABCD_DISC, excluding missing dx, do participants with ADHD (dx=1.0) show lower Control-Default connectivity (fc_fc_Cont_Default_z) than controls (dx=0.0), with no additional covariates, and is the direction consistent in ABCD_REP? | 429dcb7a854709ebe8a9aca0cea5fc242a9ef7c863f685d2fe3091ea1b722b7d | ncb-scientific-c8faa8d62af041ef | 758cdfac9f43918992acb1dc91d5d532a050d52df8d1826a62f73f94f96c13e8 | ncb-sem-d1d63849392e8fad | adhd | [
"ncb21-task-6a44a66368a81a10"
] |
[
"ad_aging_q032"
] | aligned_with_safety_augmentation | ncb-scientific-c922885057dbc163 | scientific | ncb-claim-1bd1a60a1440fb79 | {
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... | c922885057dbc163bc0da7c09a1f929618f4043b01e964bfbd4ba2d3947e992e | ready | sMRI | c922885057dbc163bc0da7c09a1f929618f4043b01e964bfbd4ba2d3947e992e | [
{
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... | In ADNI_DISC, among CN participants, is older age associated with higher smri_ventricles, adjusting for sex? | 53fa251788a35110e095f3a21563ed929421af399dc979f6c4aa653fe49e89bf | ncb-scientific-c922885057dbc163 | f3dc0ac494a0ed981fbab4e790bc4b2193f7bc8a0ca61cd46ce52328aa075fcd | ncb-sem-1bd1a60a1440fb79 | ad_aging | [
"ncb21-task-49c64dd2a4b213fa"
] |
[
"normative_fmri_031"
] | aligned_with_safety_augmentation | ncb-scientific-c9246d08669f6265 | scientific | ncb-claim-027c48c5b3ac8f14 | {
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"type": "association",... | c9246d08669f6265e26d6a274208eaff54a2c585d734065f5cd7d4289f86a6ed | ready | fMRI-FC | c9246d08669f6265e26d6a274208eaff54a2c585d734065f5cd7d4289f86a6ed | [
{
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"target_family": "norma... | Among ABCD participants with dx=0.0, in ABCD_DISC with replication in ABCD_REP, is higher age associated with higher control-network within-network connectivity (fc_fc_Cont_Cont_z), adjusting for sex and cognition? | 98180d740463670610765b132da60a10ace8a9493947889b4dd690caf805ac31 | ncb-scientific-c9246d08669f6265 | 556803894ff3fc4e4c1913687e5b1e57f356f27549f7ac2b37c4250be981bdae | ncb-sem-027c48c5b3ac8f14 | normative_fmri | [
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[
"pubmed_37121277_pmid37121277_mccfc_cluster2_vs_td"
] | ambiguous_unresolved | ncb-scientific-c98428886dd0f1d9 | scientific | ncb-claim-5764b4fe5f95de4a | {
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"discovery_cohort": "ABIDE2_DISC",
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"outcome": ... | c98428886dd0f1d91c3a75d885826b5fb7726225297f515afa05718599e2996d | ambiguous_unresolved | fMRI-FC | c98428886dd0f1d91c3a75d885826b5fb7726225297f515afa05718599e2996d | [
{
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"source_path": "review-stage/confirm-gates-a... | For literature-grounded ASD Cluster-2 with moderate ADI-R impairment versus typical-development controls effect on MCC-related whole-brain functional connectivity in resting-state fMRI functional connectivity, using ABIDE2 as discovery and ABIDE2 as replication, test the claim with expected direction negative and adjus... | 44ac741d0130ee73f4fdddb8442c09172384b07c0f76a5ad941db570dedd7511 | ncb-scientific-c98428886dd0f1d9 | 7479f5b2f60e18191ed5f30360e3fe7c2f540dce44899019cd404899ee0a94db | ncb-sem-5764b4fe5f95de4a | asd | [] |
[
"asd_q033"
] | aligned_with_safety_augmentation | ncb-scientific-caeb5a6d248ba33c | scientific | ncb-claim-c302e042c0fc115a | {
"claim_id": "asd_q033",
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"discovery_cohort": "ABIDE2_DISC",
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"pr... | caeb5a6d248ba33c770c82b3dc6515580c3efad63440adbbb4688d39731a3c41 | ready | fMRI-FC | caeb5a6d248ba33c770c82b3dc6515580c3efad63440adbbb4688d39731a3c41 | [
{
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}
] | In ABIDE2_DISC, with replication assessed in ABIDE2_REP, does fc_fc_SalVentAttn_SalVentAttn differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 9f52f9300780dfa9ca8f23c5fee863243fe3d314812c4e46c8ca6a3db4d3b107 | ncb-scientific-caeb5a6d248ba33c | cb7cd847e1f3d937368cbef16af739b74c4188b1c7861d075cb5c6de7fc1d117 | ncb-sem-c302e042c0fc115a | asd | [
"ncb21-task-f78467ff31f5d941"
] |
[
"normative_fmri_026"
] | aligned_with_safety_augmentation | ncb-scientific-cb339bf30281cede | scientific | ncb-claim-54412458ba1b1520 | {
"claim_id": "normative_fmri_026",
"covariates": [
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"site"
],
"discovery_cohort": "HCP_Aging_DISC",
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"type": "asso... | cb339bf30281cedea3769b3c8ba3c0199ad8889c6569c72e5720af2c4c1b226d | ready | fMRI-FC | cb339bf30281cedea3769b3c8ba3c0199ad8889c6569c72e5720af2c4c1b226d | [
{
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"target_family": "norma... | In HCP_Aging_DISC, with replication in HCP_Aging_REP, is higher age associated with lower somatomotor within-network connectivity (fc_fc_SomMot_SomMot_z), adjusting for sex and cognition? | 0aa2228a096b0e664538eeb85ad592e24e1e86c968e157af074ef47570ee4519 | ncb-scientific-cb339bf30281cede | a301c2c36e13898584f2156b1a29e59116fbbeaa86958bf463ba6a44cf7d0288 | ncb-sem-54412458ba1b1520 | normative_fmri | [
"ncb21-task-3d920ec7800c2bfa"
] |
[
"pubmed_28040544_pmid28040544_asd_fc_kea_corticalnetworks"
] | aligned | ncb-scientific-cb86d4103ebb0e0c | scientific | ncb-claim-2bf57780df2813c6 | {
"claim_id": "pubmed_28040544_pmid28040544_asd_fc_kea_corticalnetworks",
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],
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"out... | cb86d4103ebb0e0cfb84aeae03b006b1b9f5e196a73b165f42e271c167d1f8d0 | ready | fMRI-FC | cb86d4103ebb0e0cfb84aeae03b006b1b9f5e196a73b165f42e271c167d1f8d0 | [
{
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"source_path": "review-stage/c... | For literature-grounded Autism diagnosis versus control status effect on Resting-state functional connectivity in KEA-defined cortical networks involving orbitofrontal cortex, anterior cingulate cortex, middle temporal gyrus, and precuneus in fMRI-FC, using ABIDE2 as discovery and ABIDE2 as replication, test the claim ... | 9ec192bbb8f21607d8ba21254c8afeec6cc3faedf3e55a441a97d3fcbcf5d56c | ncb-scientific-cb86d4103ebb0e0c | 2eb4eeb12f6080c6e3aeb98bd813f454f2d1004f546c9b164dfeadf3a4ca35c6 | ncb-sem-2bf57780df2813c6 | asd | [
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] |
[
"ad_aging_q036"
] | aligned_with_safety_augmentation | ncb-scientific-cc1c11b70cdbc35f | scientific | ncb-claim-4cf6bd4d0048276f | {
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"... | cc1c11b70cdbc35f0fb7b7692822abca760f09315d96cba5c2e0c0d8c07fcfe3 | ready | PET | cc1c11b70cdbc35f0fb7b7692822abca760f09315d96cba5c2e0c0d8c07fcfe3 | [
{
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... | In ADNI_DISC, among CN participants, is older age associated with higher pet_av45, adjusting for sex? | 17ef9671c214ecfe60e3d1d6f4a056a94c24992d89c2b4b35ee417f8bfc4cfc2 | ncb-scientific-cc1c11b70cdbc35f | 33630bae3c1c57446d8568d4a1d6be8caffddf55aa18b716e424c71fe7c68e23 | ncb-sem-4cf6bd4d0048276f | ad_aging | [
"ncb21-task-a389468db376c4f4"
] |
[
"ad_aging_q025"
] | aligned_with_safety_augmentation | ncb-scientific-cc2914e36309cad4 | scientific | ncb-claim-5ec25f86a95995a3 | {
"claim_id": "ad_aging_q025",
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],
"discovery_cohort": "OASIS3_DISC",
"estimand": {
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"pre... | cc2914e36309cad42e9bff4b0a6351fa56b156cb121cb9074b25063a25f3fff5 | ready | sMRI | cc2914e36309cad42e9bff4b0a6351fa56b156cb121cb9074b25063a25f3fff5 | [
{
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... | In OASIS3_DISC, with OASIS3_REP as a replication cohort, is Dementia associated with lower smri_midtemp than CN, adjusting for age and sex? | d325e8268a83c8fa1541ef6341c812f8d9c73d2eac79f89951e182a9591e7688 | ncb-scientific-cc2914e36309cad4 | 3ad59694b84444ecb7f263e017fbe73bd62dd8beaaa1603c826756e4ba546c5b | ncb-sem-5ec25f86a95995a3 | ad_aging | [
"ncb21-task-0a1ed327c94ac9a5"
] |
[
"adhd_q007"
] | aligned_with_safety_augmentation | ncb-scientific-ccf76ee04722df94 | scientific | ncb-claim-a78bc3d5c2482eab | {
"claim_id": "adhd_q007",
"covariates": [
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],
"discovery_cohort": "ABCD_DISC",
"estimand": {
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"group": {
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"outcome": "fc_fc_DorsAttn_DorsAttn_z",
"predict... | ccf76ee04722df945c7c574a27b2da49fc63bef96e9b9b9f3ee1612f4beb0257 | ready | fMRI-FC | ccf76ee04722df945c7c574a27b2da49fc63bef96e9b9b9f3ee1612f4beb0257 | [
{
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}
] | In ABCD_DISC, excluding missing dx, do ADHD cases (dx=1.0) differ from controls (dx=0.0) in within-DorsalAttention connectivity (fc_fc_DorsAttn_DorsAttn_z), with no additional covariates, and is the difference replicated in ABCD_REP? | d87f3407ef1037002f2040f38a585d777582f88c865231dae7f9968130e7640e | ncb-scientific-ccf76ee04722df94 | 1d9d47d8fb3306553ad618d72cc1edd153c18a615ede16497517080992ffebab | ncb-sem-a78bc3d5c2482eab | adhd | [
"ncb21-task-217080e5d5d61690"
] |
[
"ad_aging_q012"
] | aligned_with_safety_augmentation | ncb-scientific-ce5c0063d478e61d | scientific | ncb-claim-f3e4911f433998d2 | {
"claim_id": "ad_aging_q012",
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],
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... | ce5c0063d478e61da293889593af2afd1b8b29c77b2df5c7d7de1191d162c10c | ready | sMRI | ce5c0063d478e61da293889593af2afd1b8b29c77b2df5c7d7de1191d162c10c | [
{
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"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_hippocampus, adjusting for sex? | 3da394c3a30e23294013cccfc65037f96a4f2d8eed9a06c86cb73d751dff11e4 | ncb-scientific-ce5c0063d478e61d | 7d494c68bdd53df5e8e4d1696c6cb9570310dcc82fe9e3a9d5833d7ab948fbe5 | ncb-sem-f3e4911f433998d2 | ad_aging | [
"ncb21-task-b0061b835ca1457f"
] |
[
"pubmed_36403658_pmid36403658_adhd_fc_classifier"
] | ambiguous_unresolved | ncb-scientific-ce9b34e85b1510c7 | scientific | ncb-claim-9a49e748df2ba005 | {
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],
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"estimand": {
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"group": {
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},
"outcome": "fc... | ce9b34e85b1510c7cdb61caab47224a564c4d18a9d89c72c6952a58e8ed87491 | ambiguous_unresolved | fMRI-FC | ce9b34e85b1510c7cdb61caab47224a564c4d18a9d89c72c6952a58e8ed87491 | [
{
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"source_path": "review-stage/conf... | For literature-grounded healthy controls, social phobia without ADHD, and social phobia with ADHD comorbidity effect on multivariate classification using functional connectivity strength and topology features in resting-state fMRI functional connectivity, using ABCD as discovery and ADHD200 as replication, test the cla... | 7421175b2096c21c0b5e64a0e0aa9d6b008eae9399f641013be99353c44e7791 | ncb-scientific-ce9b34e85b1510c7 | 66697fc6f37b179f47e10d1343b50e3b136fcac39589669f21cad41afa9191c8 | ncb-sem-9a49e748df2ba005 | adhd | [] |
[
"asd_q040"
] | aligned | ncb-scientific-cfe09363aec199e4 | scientific | ncb-claim-a7e5d3c11d8415e9 | {
"claim_id": "asd_q040",
"covariates": [],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Cont_Default_z",
"predictor": "confirm_dx",
"region_set": nul... | cfe09363aec199e4d87cfd179508934aa0a694e2ac85f122d79bab05a56bf5ba | ready | fMRI-FC | cfe09363aec199e4d87cfd179508934aa0a694e2ac85f122d79bab05a56bf5ba | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q040",
"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_Default_z differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 6a4dc9064b09c7072d2ebd1f18d158dd9de28db5c64f9b5312460d490e6899b0 | ncb-scientific-cfe09363aec199e4 | fe02b61f8be7f79c488b5f3c770fa296ca58555ba70789fce60ae7b50516eb18 | ncb-sem-a7e5d3c11d8415e9 | asd | [
"ncb21-task-e1c38e33b7e80abc"
] |
[
"adhd_q017"
] | aligned_with_safety_augmentation | ncb-scientific-cff1d7d2ccfb4083 | scientific | ncb-claim-431a40f2cc1f5ed6 | {
"claim_id": "adhd_q017",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_SalVentAttn_SomMot_z",
"pre... | cff1d7d2ccfb4083777868ad19918ae7945541ba0eac4f51f5d045cb634efc6b | ready | fMRI-FC | cff1d7d2ccfb4083777868ad19918ae7945541ba0eac4f51f5d045cb634efc6b | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q017",
"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 Salience/VentralAttention-Somatomotor connectivity (fc_fc_SalVentAttn_SomMot_z), with no additional covariates, and does this replicate in ADHD200_REP? | 709e9febbf7abd25df4363a4d1182f95a9e3a8fa6210b3dcb398f946fc7bbe9f | ncb-scientific-cff1d7d2ccfb4083 | 5df824301ab1addd97daaf4023192f0090f63d68208b8c74686e168f40a67e43 | ncb-sem-431a40f2cc1f5ed6 | adhd | [
"ncb21-task-1ee6ff3275d5a6b2"
] |
[
"psychosis_q039"
] | aligned | ncb-scientific-d0535a6cab6d913b | scientific | ncb-claim-6c35024a79091cc0 | {
"claim_id": "psychosis_q039",
"covariates": [],
"discovery_cohort": "COBRE_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_within_network",
"predictor": "confirm_dx",
"region_set": nu... | d0535a6cab6d913b7aae20a3c6e47c1d8b5c21a56abd87a6f45877adf81829e0 | ready | fMRI-FC | d0535a6cab6d913b7aae20a3c6e47c1d8b5c21a56abd87a6f45877adf81829e0 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q039",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | Across COBRE_DISC and COBRE_REP, is the SZ-versus-HC contrast for fc_within_network directionally consistent with lower values in SZ in unadjusted dx-only comparisons with no covariates? | 2865cc357ad9e78529f2933b956eeee50c62f939ff14b00077259b8823f0a7a9 | ncb-scientific-d0535a6cab6d913b | edd521086383f67cc2d26e964127ebbf406e84c4db92d7bde5aa6226cc4c28a6 | ncb-sem-6c35024a79091cc0 | psychosis | [
"ncb21-task-dc81572c10516fb6"
] |
[
"normative_fmri_024"
] | aligned_with_safety_augmentation | ncb-scientific-d0e3c2468afe4539 | scientific | ncb-claim-2b84eedb776ad4bf | {
"claim_id": "normative_fmri_024",
"covariates": [
"sex",
"site",
"phen_fluid_composite"
],
"discovery_cohort": "HCP_Aging_DISC",
"estimand": {
"direction": "positive",
"group": null,
"outcome": "fc_fc_Default_DorsAttn_z",
"predictor": "age",
"region_set": null,
"type": "a... | d0e3c2468afe45395a1d6887f96a757cb6cedbc19164247267f228b20c1f9067 | ready | fMRI-FC | d0e3c2468afe45395a1d6887f96a757cb6cedbc19164247267f228b20c1f9067 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_024",
"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 age associated with higher default-mode to dorsal-attention connectivity (fc_fc_Default_DorsAttn_z), adjusting for sex and cognition? | ed9953899bc988a5e5009042c2578b4eece7c13e0340b2a414f84cb894ed3fb0 | ncb-scientific-d0e3c2468afe4539 | 952d57058977fdd6613ea34b2dd45e721b3318e5eca7c0cd360552cc3ac9f42c | ncb-sem-2b84eedb776ad4bf | normative_fmri | [
"ncb21-task-d2e03b9aa3b48e11"
] |
[
"adhd_q030"
] | aligned_with_safety_augmentation | ncb-scientific-d37402dd791a12dc | scientific | ncb-claim-b2165137d6f2cd98 | {
"claim_id": "adhd_q030",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_DorsAttn_SalVentAttn_z",
"pred... | d37402dd791a12dc5975c0b5a9fc0994be3d63826bdbf317c431e337efa54f61 | ready | fMRI-FC | d37402dd791a12dc5975c0b5a9fc0994be3d63826bdbf317c431e337efa54f61 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q030",
"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 DorsalAttention-Salience/VentralAttention connectivity (fc_fc_DorsAttn_SalVentAttn_z), with no additional covariates? | 292a25ddcfeea37f416e546f540c64b17449babb3a50f8339797531ea860787d | ncb-scientific-d37402dd791a12dc | d003381a01bb233a9475b078649877a01efae6bfdb87a9fd8387c75a2a4c0fc4 | ncb-sem-b2165137d6f2cd98 | adhd | [
"ncb21-task-9e1aef9a7ecc24a2"
] |
[
"asd_q019"
] | aligned_with_safety_augmentation | ncb-scientific-d3b9d78a966173c6 | scientific | ncb-claim-ad2e72eb3441438a | {
"claim_id": "asd_q019",
"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",
"predictor... | d3b9d78a966173c6a58a5b8ed01a0316ad73601092701d1310f08cee0928e62e | ready | fMRI-FC | d3b9d78a966173c6a58a5b8ed01a0316ad73601092701d1310f08cee0928e62e | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q019",
"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 differ between dx=1 and dx=2 participants using dx as the predictor and no additional covariates? | 41065d358cb9078ccbb06422c2694f7cfad4dfbcfda49f6ca8be7b03e1235ffc | ncb-scientific-d3b9d78a966173c6 | cdc0a3e3583d3137226e1f9d0fb6a7262fea7ce6e2b83140279b21a1c58830af | ncb-sem-ad2e72eb3441438a | asd | [
"ncb21-task-0aedc228888c5eae"
] |
[
"psychosis_q011"
] | aligned_with_safety_augmentation | ncb-scientific-d4c0b42a60357a5d | scientific | ncb-claim-2166e66544e56e96 | {
"claim_id": "psychosis_q011",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "COBRE_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_within_network",
"predictor"... | d4c0b42a60357a5d939e12105a02798899968bed182f8471def699471bf39842 | ready | fMRI-FC | d4c0b42a60357a5d939e12105a02798899968bed182f8471def699471bf39842 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q011",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In COBRE_DISC, is fc_within_network lower in SZ than HC in an unadjusted group comparison with dx as the only predictor and no covariates? | 268874f0caddc32a56475d579d3e315fac40387f7bec01ff2964398e0b3bf634 | ncb-scientific-d4c0b42a60357a5d | edd521086383f67cc2d26e964127ebbf406e84c4db92d7bde5aa6226cc4c28a6 | ncb-sem-2166e66544e56e96 | psychosis | [
"ncb21-task-08c01f90e76c8f85"
] |
[
"normative_fmri_036"
] | aligned_with_safety_augmentation | ncb-scientific-d6cbeb536d2b0163 | scientific | ncb-claim-ce4cface1e4e8236 | {
"claim_id": "normative_fmri_036",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "positive",
"group": null,
"outcome": "fc_fc_Cont_Cont_z",
"predictor": "phen_fluid_composite",
"region_set": null,
"type": "association",... | d6cbeb536d2b01632b3c753bd865bcb7f96749ca7f83705faf307f82a8ceda07 | ready | fMRI-FC | d6cbeb536d2b01632b3c753bd865bcb7f96749ca7f83705faf307f82a8ceda07 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_036",
"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 higher control-network within-network connectivity (fc_fc_Cont_Cont_z), adjusting for age and sex? | 91db835974b0b3a4116f0ca5bfba75df642f5cb9e2df009aa224269244928cdc | ncb-scientific-d6cbeb536d2b0163 | 9e63074cf36234974e50a155d2a5a353103ad45fcf26453f76da5fd49fd71f89 | ncb-sem-ce4cface1e4e8236 | normative_fmri | [
"ncb21-task-a2cefcd7709126f7"
] |
[
"sex_smri_hippocampus_gsp_adni_cn"
] | ambiguous_unresolved | ncb-scientific-da6e0b38e7772e80 | scientific | ncb-claim-494b154ddee82225 | {
"claim_id": "sex_smri_hippocampus_gsp_adni_cn",
"covariates": [
"age",
"eTIV",
"site"
],
"discovery_cohort": "GSP_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "F",
"control": "M",
"var": "sex"
},
"outcome": "smri_hippocampus",
"predictor"... | da6e0b38e7772e80aea1f58d4a4006eca8cf9c7e3bc872b5d952c3853da64503 | ambiguous_unresolved | sMRI | da6e0b38e7772e80aea1f58d4a4006eca8cf9c7e3bc872b5d952c3853da64503 | [
{
"prior_label": "candidate_unknown",
"source_citation": "Ritchie et al. 2018 Cerebral Cortex",
"source_collection": "legacy_scientific",
"source_id": "sex_smri_hippocampus_gsp_adni_cn",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family... | For sex difference in eTIV-adjusted hippocampal volume in sMRI, using GSP as discovery and ADNI_CN as replication, test the claim with expected direction female_minus_male negative on hippocampal volume after age and eTIV adjustment and adjust for age;eTIV when available. | de8e6e2d8702bb8a61de5ef970eb0a5e5d44b927e87b4e0cb09e7dfe01c3addf | ncb-scientific-da6e0b38e7772e80 | 380b875a6be20514906b9c85d046ada773bca97e0e441308690e6b146dc21455 | ncb-sem-494b154ddee82225 | normative_fmri | [] |
[
"ad_aging_q013",
"ad_aging_q015",
"ad_aging_q019"
] | aligned_with_safety_augmentation | ncb-scientific-da99887ee1c161f8 | scientific | ncb-claim-d22048e0b525ef58 | {
"claim_id": "ad_aging_q013",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "positive",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "pet_av45",
"predictor... | da99887ee1c161f8ace824a8f4f353abd0b75b76e0f9cc87e3fdc1d6e2cca576 | ready | PET | da99887ee1c161f8ace824a8f4f353abd0b75b76e0f9cc87e3fdc1d6e2cca576 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q013",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In ADNI_DISC, with ADNI_REP as a replication cohort, is Dementia associated with higher pet_av45 than CN, adjusting for age and sex? | 971e0ba85bd308439b4473e5b129c205065eb077bfa7cab7d9489fdd1bf8314e | ncb-scientific-da99887ee1c161f8 | 94b82c5a937c61645989e76a195386477c181f2c9fbd0b2ffa19373518d83fa7 | ncb-sem-d22048e0b525ef58 | ad_aging | [
"ncb21-task-b148816c3f2385a3"
] |
[
"adhd_region_adhd200_abcd"
] | aligned | ncb-scientific-dc2d5ad4964bca96 | scientific | ncb-claim-496f6200eab60252 | {
"claim_id": "adhd_region_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_region_",
... | dc2d5ad4964bca964b15ebb2637b5eba244814c6906a20b19cd600878ccb4570 | ready | other | dc2d5ad4964bca964b15ebb2637b5eba244814c6906a20b19cd600878ccb4570 | [
{
"prior_label": "fragile",
"source_citation": "ADHD-200 Consortium 2012",
"source_collection": "legacy_scientific",
"source_id": "adhd_region_adhd200_abcd",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "adhd"
}
] | For ADHD case-control fMRI regional difference in fMRI-region, using ADHD200 as discovery and ABCD as replication, test the claim with expected direction two_sided and adjust for age;sex;site when available. | dec4f932dce09d7f95e9a3046349bbb5c55fa66e864f0c7511751744056b91ee | ncb-scientific-dc2d5ad4964bca96 | b1a4f6639fe27d228938bad44ad8f448065650677f948f3c70dce5dd7206482f | ncb-sem-496f6200eab60252 | adhd | [
"ncb21-task-d568db2d613cee3b"
] |
[
"normative_fmri_003"
] | aligned_with_safety_augmentation | ncb-scientific-dc6371e72c01cdcd | scientific | ncb-claim-8552739e6f8398cb | {
"claim_id": "normative_fmri_003",
"covariates": [
"sex",
"phen_fluid_intelligence",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
"direction": "negative",
"group": null,
"outcome": "fc_fc_DorsAttn_DorsAttn_z",
"predictor": "age",
"region_set": null,
"type": "ass... | dc6371e72c01cdcd2e2e176efc8496ba66d5715ea1c8da75ab66be1c67032e07 | ready | fMRI-FC | dc6371e72c01cdcd2e2e176efc8496ba66d5715ea1c8da75ab66be1c67032e07 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_003",
"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 dorsal-attention within-network connectivity (fc_fc_DorsAttn_DorsAttn_z), adjusting for sex and cognition? | 8c7268efc7fdbae0da49e6d66facb791887c6cceb3e2dc9d1340e6323742f628 | ncb-scientific-dc6371e72c01cdcd | 29c6f26014b07b4736b3860f8cb982ec0fd44c210b69ceabcee72a1d5ce47045 | ncb-sem-8552739e6f8398cb | normative_fmri | [
"ncb21-task-59318963ec862829"
] |
[
"pubmed_35338900_pmid35338900_boysadhd_limbicdmn"
] | aligned | ncb-scientific-de1363fa0a54a318 | scientific | ncb-claim-22c65198c6a302be | {
"claim_id": "pubmed_35338900_pmid35338900_boysadhd_limbicdmn",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "positive",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_... | de1363fa0a54a31857453e1dd873734715696b750931e1ee29d64fb8103b2e58 | ready | fMRI-FC | de1363fa0a54a31857453e1dd873734715696b750931e1ee29d64fb8103b2e58 | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:35338900; DOI:10.1016/j.dcn.2022.101101",
"source_collection": "stage2_current",
"source_id": "pubmed_35338900_pmid35338900_boysadhd_limbicdmn",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all... | For literature-grounded boys with ADHD / ADHD-by-sex group contrast effect on frontal-limbic striatum connectivity with default mode network regions 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. | a866e8fbfb0b9b2be4c550835cb012680627589fd242f70ba3ad9864d827bd3f | ncb-scientific-de1363fa0a54a318 | f8bdf3c57e6489f08c59b2722098f4fb25d03ddbfe03f62e417ac563efd6067c | ncb-sem-22c65198c6a302be | adhd | [
"ncb21-task-9e56ed379ff23dcc"
] |
[
"ad_aging_q014",
"ad_aging_q016",
"ad_aging_q020",
"fdg_pet_adni"
] | aligned_with_safety_augmentation | ncb-scientific-de319955c8826c8c | scientific | ncb-claim-cf0eadfce7fc0fa3 | {
"claim_id": "ad_aging_q014",
"covariates": [
"age",
"sex",
"eTIV",
"site"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "pet_fdg_suvr",
"predi... | de319955c8826c8c592a65c22c0905af5cc82a9b10dc096639a3311f2ecb2566 | ready | PET | de319955c8826c8c592a65c22c0905af5cc82a9b10dc096639a3311f2ecb2566 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q014",
"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 pet_fdg_suvr than CN, adjusting for age and sex? | 5db8d4e002994920469c6c5dd0a369acbc70ebc9f769e6bda9991d7427d86cc3 | ncb-scientific-de319955c8826c8c | 331c26efa5688b437e6263e8f8e0a90dfcd67164a28ad459d05962ee91067e36 | ncb-sem-cf0eadfce7fc0fa3 | ad_aging | [
"ncb21-task-73b0d28461d6f903"
] |
[
"ad_aging_q023"
] | aligned_with_safety_augmentation | ncb-scientific-e035748f4f603bb4 | scientific | ncb-claim-799ee41494ce841f | {
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"... | e035748f4f603bb4a9823928fecfe37e85d40785b688ac68eaeab6eaeba5a41c | ready | sMRI | e035748f4f603bb4a9823928fecfe37e85d40785b688ac68eaeab6eaeba5a41c | [
{
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... | In OASIS3_DISC, with OASIS3_REP as a replication cohort, is Dementia associated with higher smri_ventricles than CN, adjusting for age and sex? | dda4d17383460b6399844e0b82686aefbcdba515e616f329a1d60f404e97ff24 | ncb-scientific-e035748f4f603bb4 | ca6200f8d7f0001b7332edb36df1554a0921d126a93cb5c107288257e312eeae | ncb-sem-799ee41494ce841f | ad_aging | [
"ncb21-task-6312b91e545f9c34"
] |
[
"normative_fmri_015"
] | aligned_with_safety_augmentation | ncb-scientific-e1c33335981addda | scientific | ncb-claim-b478bca2f871dfa1 | {
"claim_id": "normative_fmri_015",
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"discovery_cohort": "HCP_DISC",
"estimand": {
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"type": "associatio... | e1c33335981addda2599fe24aa86c62ac3f0c9a159ee7345d23c83e540683619 | ready | fMRI-FC | e1c33335981addda2599fe24aa86c62ac3f0c9a159ee7345d23c83e540683619 | [
{
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | In HCP_DISC, with replication in HCP_REP, is higher cognition associated with higher connectivity between control and dorsal-attention networks (fc_fc_Cont_DorsAttn_z), adjusting for age and sex? | 01601d6c8e794ea44c5f1de28b174d9bfce919be7b20f2ca4280c4a8b454c7df | ncb-scientific-e1c33335981addda | 3d7e1a9c383275f414c963af54d9cfa3bac5b7886c72d2c5aa521b977e7110c0 | ncb-sem-b478bca2f871dfa1 | normative_fmri | [
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[
"pubmed_1431963_pmid1431963_mta_ad_vs_controls",
"pubmed_21729419_pmid21729419_2"
] | aligned | ncb-scientific-e2c8b315d5871123 | scientific | ncb-claim-d384989302daa852 | {
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{
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"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all-gpt55... | For literature-grounded probable Alzheimer's disease versus age-matched controls effect on medial temporal lobe atrophy in sMRI, using ADNI as discovery and OASIS3 as replication, test the claim with expected direction positive and adjust for age;eTIV;sex when available. | 2dc53034714df0fa1117c19b6bafccdebd2c66d63922f71e3c8a2cbbbc21493f | ncb-scientific-e2c8b315d5871123 | 7d1c83104741ed5b01b697d5a8021cc56dc98cc9628d8a91ecc6fa7ccc42c567 | ncb-sem-d384989302daa852 | ad_aging | [
"ncb21-task-8efc33f2fd8e4854"
] |
[
"psychosis_q036"
] | aligned | ncb-scientific-e313edffc6da7a07 | scientific | ncb-claim-2ccad72c3141229c | {
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{
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"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_between_network directionally consistent in unadjusted dx-only comparisons with no covariates? | f5de6e46a00901bc2f4d78a53550d7bcb314b4517ed4e66369efcf423d4e1580 | ncb-scientific-e313edffc6da7a07 | f555ea3e77e68e7c98be57a506ff641953f2f8e879082a91e5d6b59613b497bb | ncb-sem-2ccad72c3141229c | psychosis | [
"ncb21-task-9bf0eb30f9254c4a"
] |
[
"psychosis_q026"
] | aligned_with_safety_augmentation | ncb-scientific-e43def8c3b8cb4e9 | scientific | ncb-claim-893ac2c9b485762f | {
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"covariates": [
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],
"discovery_cohort": "FBIRN_DISC",
"estimand": {
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},
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{
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"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In FBIRN_DISC, do SZ participants differ from HC participants in fc_mean_abs in an unadjusted comparison using dx as the only predictor and no covariates? | e99e3b5e8064869b751e6cda75c26be803b602132104ce8ce51c4d5fd60cf459 | ncb-scientific-e43def8c3b8cb4e9 | 55037708c84a264715f67a9d65743dd29b7ae0b6c38b838b4c18430c1c6ed8d1 | ncb-sem-893ac2c9b485762f | psychosis | [
"ncb21-task-57b20f6c2d349598"
] |
[
"ad_hippocampal_atrophy_adni_oasis3"
] | aligned | ncb-scientific-e59458cf873b37f4 | scientific | ncb-claim-9a1d0e71271e5380 | {
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],
"discovery_cohort": "ADNI_DISC",
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{
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"target_family": ... | 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-e59458cf873b37f4 | d0b6b8c219d458c68ca3b6a197245ee4d8a65b4b971488d03ed6e84eff5bf700 | ncb-sem-9a1d0e71271e5380 | ad_aging | [
"ncb21-task-c2ee1c5133d1ee46"
] |
[
"pubmed_37121277_pmid37121277_reho_cluster1_vs_td"
] | ambiguous_unresolved | ncb-scientific-e59b8563fe5abace | scientific | ncb-claim-f061463e8148d412 | {
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],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
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},
"outcome": "... | e59b8563fe5abace75c175eff2d6c6bc371d7aa0b5053b5fc34317818314bff5 | ambiguous_unresolved | fMRI-FC | e59b8563fe5abace75c175eff2d6c6bc371d7aa0b5053b5fc34317818314bff5 | [
{
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"source_path": "review-stage/confirm-gates-al... | For literature-grounded ASD Cluster-1 with more severe ADI-R impairment versus typical-development controls effect on local functional connectivity assessed by regional homogeneity (ReHo) in resting-state fMRI functional connectivity, using ABIDE2 as discovery and ABIDE2 as replication, test the claim with expected dir... | a0d5dc5438c98c44a1142f800a20e275315469c928a99f6281c6989b351bde30 | ncb-scientific-e59b8563fe5abace | 8c1bb7b19f0352d10ec38ab73babf6b56ce4313e7ee75776fb5b0209b475d64d | ncb-sem-f061463e8148d412 | asd | [] |
[
"asd_q009"
] | ambiguous_unresolved | ncb-scientific-e59e508b9cc05116 | scientific | ncb-claim-dfee12a2936ad2e1 | {
"claim_id": "asd_q009",
"covariates": [
"age",
"sex",
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],
"discovery_cohort": "ABIDE1_DISC",
"estimand": {
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"group": {
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},
"outcome": [
"fc_within_network",
"fc_be... | e59e508b9cc05116c4cf470f0f1a2f388a2f1589d7452ef3d8199026639608ba | ambiguous_unresolved | fMRI-FC | e59e508b9cc05116c4cf470f0f1a2f388a2f1589d7452ef3d8199026639608ba | [
{
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}
] | Across ABIDE1_DISC and ABIDE1_REP, is the ASD-minus-HC contrast more negative for fc_within_network than for fc_between_network, using dx as the predictor and no additional covariates? | 797bbdaba8a4df5f341b4176fbaaef53ec9115a5458dcaa007d026f6c9a3224a | ncb-scientific-e59e508b9cc05116 | a2e79e2c1d0775960adda10521fbe330e49d35826cdbf605c2a536915fc84fe5 | ncb-sem-dfee12a2936ad2e1 | asd | [] |
[
"psychosis_q007"
] | aligned | ncb-scientific-e5b2412738b16335 | scientific | ncb-claim-6c35024a79091cc0 | {
"claim_id": "psychosis_q007",
"covariates": [],
"discovery_cohort": "BSNIP2_REP",
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},
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"region_set": nu... | e5b2412738b16335f55b1518f3aac394c8cfff48e1b39a9dc0d2b64c2cbb5877 | ready | fMRI-FC | e5b2412738b16335f55b1518f3aac394c8cfff48e1b39a9dc0d2b64c2cbb5877 | [
{
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"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In BSNIP2_REP, is fc_within_network lower in SZ than HC in an unadjusted dx-only group comparison with no covariates? | 6be75917f0e2f16e42737a15e1d03b83801e2cfd0f7880fd0c744de4b4194bea | ncb-scientific-e5b2412738b16335 | 56c782efac5ece982421f6cc450e0a71823dbb420d4309f34cf0bab1b9426b92 | ncb-sem-6c35024a79091cc0 | psychosis | [
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] |
[
"pubmed_34649002_pmid34649002_brainage_attnwm"
] | ambiguous_unresolved | ncb-scientific-e5be6d84f8e872b5 | scientific | ncb-claim-34e75ab9f2a20a94 | {
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],
"discovery_cohort": "ADNI_DISC",
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"type": "... | e5be6d84f8e872b5e5382923d529f5e638a49c79635afdd5fd90ca94bee033c0 | ambiguous_unresolved | sMRI | e5be6d84f8e872b5e5382923d529f5e638a49c79635afdd5fd90ca94bee033c0 | [
{
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"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-g... | For literature-grounded Advanced brain age / higher atrophy-based brain age estimate effect on domain-specific cognitive impairment: attention and working memory in structural MRI-derived brain age estimate with neuropsychological test outcomes, using ADNI as discovery and OASIS3 as replication, test the claim with exp... | b9a5084e40ed136453fa78c607c671d831a7a96ce87ec65562822389ffcb59b6 | ncb-scientific-e5be6d84f8e872b5 | cc157d8a039957a9d7571c621a576b2d41a942573356bb18b8eee9e856ba5638 | ncb-sem-34e75ab9f2a20a94 | ad_aging | [] |
[
"adhd_q038"
] | aligned_with_safety_augmentation | ncb-scientific-e61ccc72bef4061c | scientific | ncb-claim-b32f9eea34f48563 | {
"claim_id": "adhd_q038",
"covariates": [
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"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
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"group": {
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"var": "confirm_dx"
},
"outcome": "fc_fc_DorsAttn_SalVentAttn_z",
"p... | e61ccc72bef4061ce3d466c68b9f2898acb4cf373aa0cdf600d200efef581b25 | ready | fMRI-FC | e61ccc72bef4061ce3d466c68b9f2898acb4cf373aa0cdf600d200efef581b25 | [
{
"prior_label": "candidate_unknown",
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"source_id": "adhd_q038",
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}
] | In ADHD200_DISC and ADHD200_REP separately, is any ADHD diagnosis (dx in {1,2,3}) versus control (dx=0) associated with altered DorsalAttention-Salience/VentralAttention connectivity (fc_fc_DorsAttn_SalVentAttn_z), with no additional covariates? | 72f823cd6727d3ca2473646d2fb99d420fad17685fc7a0dd7051f9255cb79731 | ncb-scientific-e61ccc72bef4061c | bcbc62719dc9cf8604e9902e4891a802b961a32646ed29162c019a1eb6c975d4 | ncb-sem-b32f9eea34f48563 | adhd | [
"ncb21-task-8f7b785586ca8640"
] |
[
"adhd_q002"
] | aligned_with_safety_augmentation | ncb-scientific-e655e7f3059cc2a2 | scientific | ncb-claim-b9ed4cced1a322ad | {
"claim_id": "adhd_q002",
"covariates": [
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"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
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"group": {
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"var": "confirm_dx"
},
"outcome": "fc_fc_Default_SalVentAttn_z",
"predic... | e655e7f3059cc2a2fa0bfd47f5738215071ffd1c322d56face875667b06330b8 | ready | fMRI-FC | e655e7f3059cc2a2fa0bfd47f5738215071ffd1c322d56face875667b06330b8 | [
{
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"source_id": "adhd_q002",
"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 higher Default-Salience/VentralAttention connectivity (fc_fc_Default_SalVentAttn_z), with no additional covariates, and is this replicated in ABCD_REP? | ca9d65dbe55f436643649c8b8bcfd65890cffe115c655917bc60e7333a44fd48 | ncb-scientific-e655e7f3059cc2a2 | 158fa35591c0432d6f39d69fb2b847f7bbbbebe5dfc9c30f7b1e3824d1070c28 | ncb-sem-b9ed4cced1a322ad | adhd | [
"ncb21-task-20579a56de42c261"
] |
[
"normative_fmri_009"
] | aligned_with_safety_augmentation | ncb-scientific-e7c94f56c83e0651 | scientific | ncb-claim-1ccf84c3360dce0e | {
"claim_id": "normative_fmri_009",
"covariates": [
"sex",
"phen_fluid_intelligence",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
"direction": "negative",
"group": null,
"outcome": "fc_fc_Cont_DorsAttn_z",
"predictor": "age",
"region_set": null,
"type": "associa... | e7c94f56c83e06518cfb23793f51ccaf963a39435caaaca93bcd7d7166f65091 | ready | fMRI-FC | e7c94f56c83e06518cfb23793f51ccaf963a39435caaaca93bcd7d7166f65091 | [
{
"prior_label": "candidate_unknown",
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"source_collection": "stage2_current",
"source_id": "normative_fmri_009",
"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 connectivity between control and dorsal-attention networks (fc_fc_Cont_DorsAttn_z), adjusting for sex and cognition? | 9548f0e29007f9d3fc6fa0976189c4b88bb93891fe4b81ef51583e9e10bd422a | ncb-scientific-e7c94f56c83e0651 | 63f0db688ca1d92f74aa49033266babd73d0ae161097ee8b6fa86d1e494cdc26 | ncb-sem-1ccf84c3360dce0e | normative_fmri | [
"ncb21-task-2f2394534763a048"
] |
[
"normative_fmri_017"
] | aligned_with_safety_augmentation | ncb-scientific-e9887ba0003df877 | scientific | ncb-claim-96e4627e73973fdd | {
"claim_id": "normative_fmri_017",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "HCP_DISC",
"estimand": {
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"group": null,
"outcome": "fc_fc_Default_DorsAttn_z",
"predictor": "phen_fluid_composite",
"region_set": null,
"type": "associa... | e9887ba0003df8779438a68d1005ebb55b6bb49af3d222c23f2ed43541800f4c | ready | fMRI-FC | e9887ba0003df8779438a68d1005ebb55b6bb49af3d222c23f2ed43541800f4c | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_017",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | In HCP_DISC, with replication in HCP_REP, is higher cognition associated with lower default-mode to dorsal-attention connectivity (fc_fc_Default_DorsAttn_z), adjusting for age and sex? | 3e12a2df79028cbe48db6c4236b5c390a09a342a63a4f34fa14467293b3b627e | ncb-scientific-e9887ba0003df877 | b127f87ad91fdaf97401260450621a35f3f055164aecb4bd920490f8d92c454e | ncb-sem-96e4627e73973fdd | normative_fmri | [
"ncb21-task-402fa353a875fc7b"
] |
[
"normative_fmri_041"
] | ambiguous_unresolved | ncb-scientific-ea3fb846fbd7533c | scientific | ncb-claim-a222e6184df9ba42 | {
"claim_id": "normative_fmri_041",
"covariates": [
"sex",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
"direction": "negative",
"group": null,
"outcome": "fc_fc_Default_Default_z",
"predictor": "age",
"region_set": null,
"type": "association",
"unit": "scalar"
... | ea3fb846fbd7533c676dd161a54428494426f0c6824d09709a81fa30f338b633 | ambiguous_unresolved | fMRI-FC | ea3fb846fbd7533c676dd161a54428494426f0c6824d09709a81fa30f338b633 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_041",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | Across UKB_DISC and HCP_Aging_DISC, with replication in UKB_REP and HCP_Aging_REP, is higher age consistently associated with lower default-mode within-network connectivity (fc_fc_Default_Default_z), adjusting for sex and cognition within each cohort? | 58c90ab3b1b58510e5f0f2e13a5ab7ffabf7d0e4ebd75ae723f93edf8f967540 | ncb-scientific-ea3fb846fbd7533c | d7029f9ce196357e229c24544df53459cab44c8e0da98d54b1e0ec5b5d0bff01 | ncb-sem-a222e6184df9ba42 | normative_fmri | [] |
[
"pubmed_32726311_pmid32726311_ifg_frontal_aging"
] | aligned | ncb-scientific-ea89da536ec1b952 | scientific | ncb-claim-aeb1c8786cf64f4a | {
"claim_id": "pubmed_32726311_pmid32726311_ifg_frontal_aging",
"covariates": [
"sex",
"eTIV"
],
"discovery_cohort": "ADNI_DISC",
"estimand": {
"direction": "two_sided",
"group": null,
"outcome": "smri_",
"predictor": "age",
"region_set": "shared_smri_regions",
"type": "associa... | ea89da536ec1b9523290c286e989068afe29a58a5825ceed6c08a9a34eef20b7 | ready | sMRI | ea89da536ec1b9523290c286e989068afe29a58a5825ceed6c08a9a34eef20b7 | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:32726311; DOI:10.1371/journal.pone.0234255",
"source_collection": "stage2_current",
"source_id": "pubmed_32726311_pmid32726311_ifg_frontal_aging",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-a... | For literature-grounded Older age among cognitively normal adults effect on Frontal cortical age-related MRI vulnerability in combined functional-structural MRI in the primary study; structural MRI in secondary analyses, using ADNI as discovery and OASIS3 as replication, test the claim with expected direction two_sided... | 6b7f33fa135989223044e274d00845de44d612c47a671cf1f92e228a9ed89744 | ncb-scientific-ea89da536ec1b952 | 65b82cc6f32bf0a28831d3f887183197356f67366cc360de9482ca1a68f700da | ncb-sem-aeb1c8786cf64f4a | ad_aging | [
"ncb21-task-5f5526a5d9758b26"
] |
[
"normative_fmri_034"
] | aligned_with_safety_augmentation | ncb-scientific-eafa675a2857a0cb | scientific | ncb-claim-e8daa2d64f6a02a9 | {
"claim_id": "normative_fmri_034",
"covariates": [
"sex",
"phen_fluid_composite",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "positive",
"group": null,
"outcome": "fc_fc_Default_Default_z",
"predictor": "age",
"region_set": null,
"type": "associa... | eafa675a2857a0cb78b9514e4388964a9404eeef0cb89fc7b7b10da646cce92b | ready | fMRI-FC | eafa675a2857a0cb78b9514e4388964a9404eeef0cb89fc7b7b10da646cce92b | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_034",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | Among ABCD participants with dx=0.0, in ABCD_DISC with replication in ABCD_REP, is higher age associated with higher default-mode within-network connectivity (fc_fc_Default_Default_z), adjusting for sex and cognition? | c59ac3b2e7a124a06b2fa9fe10622c08911f9c0facc354f62cbeee13f85f9539 | ncb-scientific-eafa675a2857a0cb | 7e6f3a8cbcbdf17c40b7875edb746f4ddcd5d13ac201521f69934bc26f35be28 | ncb-sem-e8daa2d64f6a02a9 | normative_fmri | [
"ncb21-task-f88dd656c19b1fdc"
] |
[
"age_region_ukb_hcpa"
] | ambiguous_unresolved | ncb-scientific-ebc1946b08c8a231 | scientific | ncb-claim-9190f08063b9b655 | {
"claim_id": "age_region_ukb_hcpa",
"covariates": [
"sex",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
"direction": "two_sided",
"group": null,
"outcome": "fc_fc_",
"predictor": "age",
"region_set": "fMRI_FC",
"type": "association",
"unit": "brainwide"
},
"... | ebc1946b08c8a23166f5fc2fed19abc2a85446acc94e0efa1a061866cde9599d | ambiguous_unresolved | fMRI-FC | ebc1946b08c8a23166f5fc2fed19abc2a85446acc94e0efa1a061866cde9599d | [
{
"prior_label": "candidate_unknown",
"source_citation": "Fjell and Walhovd 2010 review [VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "age_region_ukb_hcpa",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "normat... | For age association with fMRI regional descriptors in fMRI-region, using UKB as discovery and HCP_Aging as replication, test the claim with expected direction two_sided and adjust for sex;site when available. | e0da5f7b1cdb21ef0765b094a4c944b1064cf3d5f2d604b45dcb1a512b99b24e | ncb-scientific-ebc1946b08c8a231 | c9a5638a01a983bf4a2b6eb4f0d087322e38c2b24a647d7bc107dbd06029f339 | ncb-sem-9190f08063b9b655 | normative_fmri | [] |
[
"cobre_sz_clinical"
] | aligned_with_safety_augmentation | ncb-scientific-ec6d0cdd670ee6f6 | scientific | ncb-claim-9086d74191ad7d9b | {
"claim_id": "cobre_sz_clinical",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "COBRE_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_",
"predictor": "confirm... | ec6d0cdd670ee6f647b9d7beb7a19415bd2f41ceeb82613f17a2f3f0fdaefbd5 | ready | fMRI-FC | ec6d0cdd670ee6f647b9d7beb7a19415bd2f41ceeb82613f17a2f3f0fdaefbd5 | [
{
"prior_label": "candidate_unknown",
"source_citation": "[VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "cobre_sz_clinical",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "psychosis"
}
] | For schizophrenia clinical anchor in psychosis, using COBRE as discovery and FBIRN/SZ_JH as replication, test the claim with expected direction two_sided and adjust for age;sex when available. | 10685a7400f926e4fa739e217543cee70f5a9bbac376fd29256dcca75c636c8b | ncb-scientific-ec6d0cdd670ee6f6 | 93a5ad352c27f2ec6bce80c18c9672ca185b5955d003fb67c4338614d22b063a | ncb-sem-9086d74191ad7d9b | psychosis | [
"ncb21-task-2f3eeb38f5c0d7d2"
] |
[
"psychosis_q048"
] | aligned | ncb-scientific-ed8eabb252714493 | scientific | ncb-claim-2ccad72c3141229c | {
"claim_id": "psychosis_q048",
"covariates": [],
"discovery_cohort": "FBIRN_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_between_network",
"predictor": "confirm_dx",
"region_set": ... | ed8eabb252714493617a23875b640f41f1af8d9b8826cdbb8845c317adcbc72f | ready | fMRI-FC | ed8eabb252714493617a23875b640f41f1af8d9b8826cdbb8845c317adcbc72f | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q048",
"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_between_network directionally consistent in unadjusted dx-only group comparisons with no covariates? | b07f572602f33554042fa619304fc36928b16e01f1e6621a082cef58280e951e | ncb-scientific-ed8eabb252714493 | 4b1e50cc2a3c73af7604895fc456c4766a2f11d590578051e8437843213b29c5 | ncb-sem-2ccad72c3141229c | psychosis | [
"ncb21-task-bdd3e3934c5e73da"
] |
[
"age_fc_hcpa_hcp"
] | aligned | ncb-scientific-edbf888496455e86 | scientific | ncb-claim-6305924d5026f905 | {
"claim_id": "age_fc_hcpa_hcp",
"covariates": [
"sex",
"site"
],
"discovery_cohort": "HCP_Aging_DISC",
"estimand": {
"direction": "two_sided",
"group": null,
"outcome": "fc_fc_",
"predictor": "age",
"region_set": "functional_connectivity_network_pairs",
"type": "association",
... | edbf888496455e861ca8f5b54407ebb0720d395cc740207187e5a05b344ee94d | ready | fMRI-FC | edbf888496455e861ca8f5b54407ebb0720d395cc740207187e5a05b344ee94d | [
{
"prior_label": "candidate_unknown",
"source_citation": "Fjell and Walhovd 2010 review [VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "age_fc_hcpa_hcp",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "normative_... | For age association with FC descriptors in fMRI-FC, using HCP_Aging as discovery and HCP as replication, test the claim with expected direction two_sided and adjust for sex;site when available. | c91a1d8d790ef4f8e2f064c3a063a9b44d1ef63fe96e18322fae821da3307c10 | ncb-scientific-edbf888496455e86 | b76e204b70991970eca86f50791d7245ce8683e0af48d559573132b582ab00b7 | ncb-sem-6305924d5026f905 | normative_fmri | [
"ncb21-task-f6c946fca489fd62"
] |
[
"normative_fmri_025"
] | aligned_with_safety_augmentation | ncb-scientific-ee627d7a5d823df0 | scientific | ncb-claim-e297b93c7c7c4209 | {
"claim_id": "normative_fmri_025",
"covariates": [
"sex",
"phen_fluid_composite",
"site"
],
"discovery_cohort": "HCP_Aging_DISC",
"estimand": {
"direction": "negative",
"group": null,
"outcome": "fc_fc_Vis_Vis_z",
"predictor": "age",
"region_set": null,
"type": "associatio... | ee627d7a5d823df05e627bdf39c5c62a61d74c6453f8c490dc39a233a4ecf6a1 | ready | fMRI-FC | ee627d7a5d823df05e627bdf39c5c62a61d74c6453f8c490dc39a233a4ecf6a1 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_025",
"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 age associated with lower visual-network within-network connectivity (fc_fc_Vis_Vis_z), adjusting for sex and cognition? | e8a90461e74ec7ea6bd2848fdbda5621c505143c5489c8da0aa3baa02a292dfd | ncb-scientific-ee627d7a5d823df0 | 8249688c6f2a3bf2ee6318ee1ece4a74e701ea1dee3f6653a9ca51127321ac8f | ncb-sem-e297b93c7c7c4209 | normative_fmri | [
"ncb21-task-a054e2f3a1e18f45"
] |
[
"psychosis_q014"
] | aligned | ncb-scientific-f0173ff72ee52b5e | scientific | ncb-claim-b158ae5ae8b91424 | {
"claim_id": "psychosis_q014",
"covariates": [],
"discovery_cohort": "COBRE_REP",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_mean_abs",
"predictor": "confirm_dx",
"region_set": null,
... | f0173ff72ee52b5e1e878ad93b6ab55443639c37100b7a6ff8546daeb9de844a | ready | fMRI-FC | f0173ff72ee52b5e1e878ad93b6ab55443639c37100b7a6ff8546daeb9de844a | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "psychosis_q014",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "psychosis... | In COBRE_REP, do SZ participants differ from HC participants in fc_mean_abs in an unadjusted group comparison with dx as the only predictor and no covariates? | 727aacf9fe25bf3b193335f1517a20babb88aca9c9c33dd33dc6aa2a792769e7 | ncb-scientific-f0173ff72ee52b5e | 8aa9fa2f3e64d149a660298ff2d882e68a16154564dda4135ad32af9d7d21e75 | ncb-sem-b158ae5ae8b91424 | psychosis | [
"ncb21-task-da5e99ebb21436f6"
] |
[
"ad_aging_q043"
] | aligned_with_safety_augmentation | ncb-scientific-f143dbf87a77594f | scientific | ncb-claim-e9cfe2277ad61e00 | {
"claim_id": "ad_aging_q043",
"covariates": [
"sex",
"site"
],
"discovery_cohort": "OASIS3_fMRI_DISC",
"estimand": {
"direction": "negative",
"group": null,
"outcome": "fc_fc_Default_Default_z",
"predictor": "age",
"region_set": null,
"type": "association",
"unit": "scalar... | f143dbf87a77594f45f0c498342b2f4b17215390bf78679a21770bcc782da655 | ready | fMRI-FC | f143dbf87a77594f45f0c498342b2f4b17215390bf78679a21770bcc782da655 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q043",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "ad_aging"
... | In OASIS3_fMRI_DISC, among participants with diagnosis code 0, is older age associated with lower fc_fc_Default_Default_z, adjusting for sex? | bbf6ce17f877d6799d5fd59d11b01b3529c05a2439aeb61b1c01872259a184b8 | ncb-scientific-f143dbf87a77594f | 0714393b69960662703541921f203314c4a8b6aaf659a205cda6bb52ebee30fe | ncb-sem-e9cfe2277ad61e00 | ad_aging | [
"ncb21-task-bed2c3bc8ea49212"
] |
[
"pubmed_35359026_35359026_1"
] | aligned | ncb-scientific-f3636d57e59fc807 | scientific | ncb-claim-dcd74e842d675115 | {
"claim_id": "pubmed_35359026_35359026_1",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_",
"predictor... | f3636d57e59fc80720979dd8e617af6796721000006447ea84631b5fed881c38 | ready | fMRI-FC | f3636d57e59fc80720979dd8e617af6796721000006447ea84631b5fed881c38 | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:35359026; DOI:10.1002/pchj.544",
"source_collection": "stage2_current",
"source_id": "pubmed_35359026_35359026_1",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_resu... | For literature-grounded ADHD diagnosis versus healthy controls effect on fronto-parietotemporal-striatal functional connectivity in fMRI functional connectivity, using ABCD as discovery and ADHD200 as replication, test the claim with expected direction two_sided and adjust for age;sex;site when available. | d8c0e33c4c876b49b88db412f0cfe834ac58e89011dde47ee2d6ef793c5a9dc5 | ncb-scientific-f3636d57e59fc807 | 4c6ebdb4cbe8aa75e7299a954ff9ab8a2a61fc47665f92cfe82ef22fb294b979 | ncb-sem-dcd74e842d675115 | adhd | [
"ncb21-task-abfc5beb93a7429a"
] |
[
"sex_fc_ukb_hcp"
] | aligned | ncb-scientific-f38be8ab6a8f07ce | scientific | ncb-claim-4a45aa5df3ae914e | {
"claim_id": "sex_fc_ukb_hcp",
"covariates": [
"age",
"site"
],
"discovery_cohort": "UKB_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "F",
"control": "M",
"var": "sex"
},
"outcome": "fc_fc_",
"predictor": "sex",
"region_set": "fc_fc_descr... | f38be8ab6a8f07ce1df876772b2b2987abfe8d7da0a73638f07bf09b7f8218f9 | ready | fMRI-FC | f38be8ab6a8f07ce1df876772b2b2987abfe8d7da0a73638f07bf09b7f8218f9 | [
{
"prior_label": "candidate_unknown",
"source_citation": "Ritchie et al. 2018 Cerebral Cortex [VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "sex_fc_ukb_hcp",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "norma... | For sex association with FC descriptors in fMRI-FC, using UKB as discovery and HCP as replication, test the claim with expected direction two_sided and adjust for age;site when available. | 7e06971cb92409b74cf0be5e7f4bfe07c0a2679d8b49d129f16516602aa3b07c | ncb-scientific-f38be8ab6a8f07ce | 64a71a6d0dd7b1709aeb115b7ec368ccaf81fd496949fb98e14636ca7745b253 | ncb-sem-4a45aa5df3ae914e | normative_fmri | [
"ncb21-task-5385bb3754a4a4b3"
] |
[
"adhd_q043"
] | aligned_with_safety_augmentation | ncb-scientific-f38d6fdbc4e79d95 | scientific | ncb-claim-2b233c027e6c128b | {
"claim_id": "adhd_q043",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Cont_Vis_z",
"predictor": "... | f38d6fdbc4e79d95965379c89ad839dad19e0303155a580a4d7bcd26ddf9a32d | ready | fMRI-FC | f38d6fdbc4e79d95965379c89ad839dad19e0303155a580a4d7bcd26ddf9a32d | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q043",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ADHD200_DISC and ADHD200_REP separately, is any ADHD diagnosis (dx in {1,2,3}) versus control (dx=0) associated with altered Control-Visual connectivity (fc_fc_Cont_Vis_z), with no additional covariates? | ee68ae43c36d7e8041d4e3c3fc5f38ae133a163b0149de359965b8387562f7ee | ncb-scientific-f38d6fdbc4e79d95 | ca8899153ff206ecae725a3354c4d3067f1a0e5ea57dca70ce25121616ede35b | ncb-sem-2b233c027e6c128b | adhd | [
"ncb21-task-55a3ba277e248b31"
] |
[
"pubmed_37121277_pmid37121277_vmhc_cluster1_vs_td"
] | ambiguous_unresolved | ncb-scientific-f41a8c5978b01125 | scientific | ncb-claim-1671056a239d54c1 | {
"claim_id": "pubmed_37121277_pmid37121277_vmhc_cluster1_vs_td",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "... | f41a8c5978b01125b76c9d2800b0f2317936ed7c14759937a1ed14428bc25897 | ambiguous_unresolved | fMRI-FC | f41a8c5978b01125b76c9d2800b0f2317936ed7c14759937a1ed14428bc25897 | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:37121277; DOI:10.1016/j.bbr.2023.114458",
"source_collection": "stage2_current",
"source_id": "pubmed_37121277_pmid37121277_vmhc_cluster1_vs_td",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-al... | For literature-grounded ASD Cluster-1 with more severe ADI-R impairment versus typical-development controls effect on remote functional connectivity assessed by voxel-mirrored homotopic connectivity (VMHC) in resting-state fMRI functional connectivity, using ABIDE2 as discovery and ABIDE2 as replication, test the claim... | cda7c9eea9e97b81e3aa87f1bc013cb40799f86999a0d22f76bc36992adc7144 | ncb-scientific-f41a8c5978b01125 | d7d2436462b52948e35d3ef429406ba65412b74baef81f9bfdfc517ec1043a10 | ncb-sem-1671056a239d54c1 | asd | [] |
[
"asd_q002"
] | aligned_with_safety_augmentation | ncb-scientific-f6cf8c122d61317c | scientific | ncb-claim-0de9c0c5b4d3defc | {
"claim_id": "asd_q002",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE1_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_mean_positive",
"predictor": "con... | f6cf8c122d61317c21a1377772ef6ad477761ad1859be149fd5cb4bce5a08ef9 | ready | fMRI-FC | f6cf8c122d61317c21a1377772ef6ad477761ad1859be149fd5cb4bce5a08ef9 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q002",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "asd"
}
] | In ABIDE1_DISC, with replication assessed in ABIDE1_REP, is fc_mean_positive lower in ASD than HC participants using dx as the predictor and no additional covariates? | 50edb8d2e4bed0d10116b990ac5fde158141430a5926aee2298b2c32dd86cb96 | ncb-scientific-f6cf8c122d61317c | 83301cdd60600664dc5012a018b632daadc8f37a1823fade3a0d66771970ba1c | ncb-sem-0de9c0c5b4d3defc | asd | [
"ncb21-task-6d8377be18725b95"
] |
[
"ad_aging_q041"
] | aligned_with_safety_augmentation | ncb-scientific-f7956622f7e3eaf8 | scientific | ncb-claim-097fb42632a8bead | {
"claim_id": "ad_aging_q041",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "OASIS3_fMRI_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "2",
"control": "0",
"var": "dx"
},
"outcome": "fc_fc_Default_Limbic_z",
"predictor": "dx"... | f7956622f7e3eaf82268d3c6d03184df48ef112532d72822e58c2e3b4eb9abd0 | ready | fMRI-FC | f7956622f7e3eaf82268d3c6d03184df48ef112532d72822e58c2e3b4eb9abd0 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "ad_aging_q041",
"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_Limbic_z differ between diagnosis code 2 and diagnosis code 0, adjusting for age and sex? | 71fb9709047800171a4ce270a3541de6f23227d9722adf65c0889477236fcd0b | ncb-scientific-f7956622f7e3eaf8 | d65b00e51e3114dac528df688675f81550d830b71b489b092d8dcc8c4691d5a0 | ncb-sem-097fb42632a8bead | ad_aging | [
"ncb21-task-e15a74e2e1f75001"
] |
[
"pubmed_39856610_pmid39856610_1"
] | ambiguous_unresolved | ncb-scientific-f7c3e84a1cb3480d | scientific | ncb-claim-db463aca8239b3e9 | {
"claim_id": "pubmed_39856610_pmid39856610_1",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "positive",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_",
"predic... | f7c3e84a1cb3480df741174bb0e279d66de6682c8fed7217cb12a501ce7abb09 | ambiguous_unresolved | fMRI-FC | f7c3e84a1cb3480df741174bb0e279d66de6682c8fed7217cb12a501ce7abb09 | [
{
"prior_label": "candidate_unknown",
"source_citation": "PMID:39856610; DOI:10.1186/s12888-025-06500-4",
"source_collection": "stage2_current",
"source_id": "pubmed_39856610_pmid39856610_1",
"source_mode": "literature_grounded",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_... | For literature-grounded ADHD-only group versus healthy controls and ADHD+ODD group effect on Amygdala subregion functional connectivity with left caudate, left putamen, and frontal cortex in resting-state fMRI functional connectivity, using ABCD as discovery and ADHD200 as replication, test the claim with expected dire... | 3c967e9ca8ab144689477ad0e34f319232537bd4641b5c15fc9b9aa628dc8e1d | ncb-scientific-f7c3e84a1cb3480d | 390e2b34b0b8db4e64e1c0bdf61aa0d98f7bf4a929b186b99cdc45f2c466d45d | ncb-sem-db463aca8239b3e9 | adhd | [] |
[
"asd_fc_abide2_internal_split"
] | aligned_with_safety_augmentation | ncb-scientific-f849744a3e72c7b0 | scientific | ncb-claim-7ccfc692bc2f2980 | {
"claim_id": "asd_fc_abide2_internal_split",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE2_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_",
"predi... | f849744a3e72c7b028ed76510b08cfa02e02e994548eb013b88324b322fee36a | ready | fMRI-FC | f849744a3e72c7b028ed76510b08cfa02e02e994548eb013b88324b322fee36a | [
{
"prior_label": "fragile",
"source_citation": "Haar et al. 2016 [VERIFY]",
"source_collection": "legacy_scientific",
"source_id": "asd_fc_abide2_internal_split",
"source_mode": "inventory",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "asd"
}
] | For ASD case-control FC derivative-table split in fMRI-FC, using ABIDE2 as discovery and ABIDE2 as replication, test the claim with expected direction two_sided and adjust for age;sex when available. | 8559379d23c5addc152235d042b44a9cb39d430784401f388980331bfa443435 | ncb-scientific-f849744a3e72c7b0 | 01ccf3bb002b89ba29bfba523bc4ecbee316e7cb56b48ba423f06b9d88d1bfc2 | ncb-sem-7ccfc692bc2f2980 | asd | [
"ncb21-task-8268cb72ce15ece1"
] |
[
"normative_fmri_021"
] | aligned_with_safety_augmentation | ncb-scientific-f84fe6980294c120 | scientific | ncb-claim-42378af71a5a3ea8 | {
"claim_id": "normative_fmri_021",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "HCP_DISC",
"estimand": {
"direction": "two_sided",
"group": null,
"outcome": "fc_fc_Cont_Default_z",
"predictor": "phen_fluid_composite",
"region_set": null,
"type": "associatio... | f84fe6980294c120bccc3de4d0ceb634edd5c41e1166cc53760b2275e4bae482 | ready | fMRI-FC | f84fe6980294c120bccc3de4d0ceb634edd5c41e1166cc53760b2275e4bae482 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_021",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | In HCP_DISC, with replication in HCP_REP, is higher cognition associated with altered connectivity between default-mode and control networks (fc_fc_Cont_Default_z), adjusting for age and sex? | 96aee9e4045df0936dc512090197b1714506d8f70e189d6949dfa3665e906cc9 | ncb-scientific-f84fe6980294c120 | d3f54a93a9fe0f4de197f479c2784ef3b1da89ac5afb83c2eb70ee9ab7a8016f | ncb-sem-42378af71a5a3ea8 | normative_fmri | [
"ncb21-task-29f2629513c4d93d"
] |
[
"cognition_fc_hcp_hcpa"
] | aligned | ncb-scientific-f8671ab0121baaa8 | scientific | ncb-claim-95e7b3c2dfa3871c | {
"claim_id": "cognition_fc_hcp_hcpa",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "HCP_DISC",
"estimand": {
"direction": "two_sided",
"group": null,
"outcome": "fc_fc_",
"predictor": "phen_fluid_composite",
"region_set": "functional_connectivity_network_pairs",... | f8671ab0121baaa8a5791c0e10045747b694a1ce29f748624f86d9f6afaec0a9 | ready | fMRI-FC | f8671ab0121baaa8a5791c0e10045747b694a1ce29f748624f86d9f6afaec0a9 | [
{
"prior_label": "underpowered_small_positive",
"source_citation": "Marek et al. 2022 Nature",
"source_collection": "legacy_scientific",
"source_id": "cognition_fc_hcp_hcpa",
"source_mode": "literature",
"source_path": "data/claims/fixed_literature_claims.csv",
"target_family": "normativ... | For cognition association with FC descriptors in fMRI-FC, using HCP as discovery and HCP_Aging as replication, test the claim with expected direction two_sided and adjust for age;sex;site when available. | 9047b496d924c1c2397801662673cb5f7b1030b6b878998283c7e84f0611f8f0 | ncb-scientific-f8671ab0121baaa8 | a8d3ed25fa38d19265c7e5a65dad409a2b90997b3b0600ed24802f4e8954bc76 | ncb-sem-95e7b3c2dfa3871c | normative_fmri | [
"ncb21-task-025c8e1301361564"
] |
[
"normative_fmri_046"
] | ambiguous_unresolved | ncb-scientific-fa6a1c43897de76e | scientific | ncb-claim-b75975463df8369d | {
"claim_id": "normative_fmri_046",
"covariates": [
"age",
"site"
],
"discovery_cohort": "HCP_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "F",
"control": "M",
"var": "sex"
},
"outcome": "fc_fc_Limbic_Limbic_z",
"predictor": "sex",
"region... | fa6a1c43897de76e60daf3159b1f4d138da5c3e379097711d345459c92618fe6 | ambiguous_unresolved | fMRI-FC | fa6a1c43897de76e60daf3159b1f4d138da5c3e379097711d345459c92618fe6 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_046",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | Across HCP_DISC and UKB_DISC, with replication in HCP_REP and UKB_REP, do females and males differ consistently in limbic within-network connectivity (fc_fc_Limbic_Limbic_z), adjusting for age and cognition within each cohort? | 319414901077be52a5f705ad7452c40d360db1bfc69a5605d757faee77fcd736 | ncb-scientific-fa6a1c43897de76e | 7302324507950f9bff7f6068131378db7a5861e8bf2b8604eff96a54d139def5 | ncb-sem-b75975463df8369d | normative_fmri | [] |
[
"adhd_q018"
] | aligned_with_safety_augmentation | ncb-scientific-fa88cbf43e33f82f | scientific | ncb-claim-5197f47ccefe760c | {
"claim_id": "adhd_q018",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ADHD200_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_Limbic_z",
"predict... | fa88cbf43e33f82fcef46c1858dd805b62032cbff227c248bd865d0b9f056574 | ready | fMRI-FC | fa88cbf43e33f82fcef46c1858dd805b62032cbff227c248bd865d0b9f056574 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q018",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | In ADHD200_DISC, do participants with any ADHD diagnosis (dx in {1,2,3}) show altered Limbic-Default connectivity (fc_fc_Default_Limbic_z) compared with controls (dx=0), with no additional covariates, and is the result directionally consistent in ADHD200_REP? | 3e90e662beb1ef3d425a7ae84472ad06809ce7db9af7a4002ad6993cc9853257 | ncb-scientific-fa88cbf43e33f82f | 8842fa401b2ad25bd7c2028318d7bace4343ab78f0bcb2e4a4e85ee42da0a6a9 | ncb-sem-5197f47ccefe760c | adhd | [
"ncb21-task-f2e2f0b7031285ab"
] |
[
"normative_fmri_050"
] | ambiguous_unresolved | ncb-scientific-faaaeb165e293001 | scientific | ncb-claim-950ac04f921ee414 | {
"claim_id": "normative_fmri_050",
"covariates": [
"sex",
"site"
],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "two_sided",
"group": null,
"outcome": "fc_fc_Cont_Default_z",
"predictor": "age",
"region_set": null,
"type": "association",
"unit": "scalar"
... | faaaeb165e29300168533c3f46df10bc022f709f42e5ae34a3f8f39f6583b00b | ambiguous_unresolved | fMRI-FC | faaaeb165e29300168533c3f46df10bc022f709f42e5ae34a3f8f39f6583b00b | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "normative_fmri_050",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "norma... | Across ABCD_DISC, HCP_DISC, HCP_Aging_DISC, and UKB_DISC, with corresponding replication cohorts, is higher age associated with cohort-dependent differences in default-mode to control-network connectivity (fc_fc_Cont_Default_z), adjusting for sex and cognition within each cohort and restricting ABCD to dx=0.0? | 0c7a9c8fdb396956aa6224ea025fab911af0f46bc4c1977ef9b02349d2e59bb9 | ncb-scientific-faaaeb165e293001 | c040543d7757cea52bc46bb0a60d9de7dc21541207b38d7e4fbbed86f0679a59 | ncb-sem-950ac04f921ee414 | normative_fmri | [] |
[
"adhd_q047"
] | aligned | ncb-scientific-feb70aa94fa7c90f | scientific | ncb-claim-8735a48780a17800 | {
"claim_id": "adhd_q047",
"covariates": [],
"discovery_cohort": "ABCD_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_fc_Default_DorsAttn_z",
"predictor": "confirm_dx",
"region_set": ... | feb70aa94fa7c90fa2df8c05f733ba5d944a5de106a49eb36eb63cbfa0415e66 | ready | fMRI-FC | feb70aa94fa7c90fa2df8c05f733ba5d944a5de106a49eb36eb63cbfa0415e66 | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "adhd_q047",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "adhd"
}
] | 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 Default-DorsalAttention connectivity (fc_fc_Default_DorsAttn_z) in the same direction, with no additional covariates? | 8b63ca6230fea2f14399ec682f45c8c5b098b159b529849780b7bac031ce5ac8 | ncb-scientific-feb70aa94fa7c90f | f5ac6bbdb3a6e7f198712152259b8996498b8a69dd1a301e6fae213e1d03f000 | ncb-sem-8735a48780a17800 | adhd | [
"ncb21-task-a71d3a3c1b344c50"
] |
[
"asd_q010"
] | aligned_with_safety_augmentation | ncb-scientific-ff4d46696cfed68a | scientific | ncb-claim-bcd31e36404b748e | {
"claim_id": "asd_q010",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "ABIDE1_DISC",
"estimand": {
"direction": "negative",
"group": {
"case": "case",
"control": "control",
"var": "confirm_dx"
},
"outcome": "fc_mean_abs",
"predictor": "confirm_... | ff4d46696cfed68a15180d4899c7d603dd7670c50318e776fa4991d2d5e8a6fe | ready | fMRI-FC | ff4d46696cfed68a15180d4899c7d603dd7670c50318e776fa4991d2d5e8a6fe | [
{
"prior_label": "candidate_unknown",
"source_citation": "llm_proposed",
"source_collection": "stage2_current",
"source_id": "asd_q010",
"source_mode": "llm_proposed",
"source_path": "review-stage/confirm-gates-all-gpt55/combined_benchmark_results.json",
"target_family": "asd"
}
] | Across ABIDE1_DISC, ABIDE1_REP, and ABIDE1_HOLDOUT, is fc_mean_abs consistently lower in ASD than HC participants using dx as the predictor and no additional covariates? | 5bb6a111662d9a6480cf56bdb0538109851d07757d8050b3b0e86642b146273a | ncb-scientific-ff4d46696cfed68a | 0c31d1878724b277aab674a0169eaa62f9cd8b8f87554e1aff5b230be216412d | ncb-sem-bcd31e36404b748e | asd | [
"ncb21-task-a5379172f56f4390"
] |
[
"neg_underpowered_hcp_s3"
] | aligned_with_safety_augmentation | ncb-synthetic-stress-015db0b6e9d5687e | synthetic_stress | ncb-claim-c987142e6758f177 | {
"claim_id": "neg_underpowered_hcp_s3",
"covariates": [
"age",
"site"
],
"discovery_cohort": "neg_underpowered_hcp_s3_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "F",
"control": "M",
"var": "sex"
},
"outcome": "fc_fc_Default_SomMot_z",
"pred... | 015db0b6e9d5687ec19738349420306cc81f28b8433ef780d0d7db2024f1ce1f | ready | fMRI-FC | 015db0b6e9d5687ec19738349420306cc81f28b8433ef780d0d7db2024f1ce1f | [
{
"prior_label": "fragile",
"source_citation": "synthetic_stress",
"source_collection": "synthetic_stress_v7",
"source_id": "neg_underpowered_hcp_s3",
"source_mode": "synthetic_stress",
"source_path": "review-stage/claim-search-safety-gpt55-r10-c10-v7/gates/known_negative_results.json",
... | Programmatic synthetic known-null/fragile negative stress claim. | bc9561cf36451f71dc170eed589166cd8b983c6f180f4002d802967d428dd31f | ncb-synthetic-stress-015db0b6e9d5687e | 54b36d53665eca136b68db1b5d14d2f9fa6426ff7b3bc7492aa1047013d3f291 | ncb-sem-c987142e6758f177 | synthetic_stress | [
"ncb21-task-9ce60cabf58259fd"
] |
[
"neg_random_label_hcp_aging_s3"
] | aligned_with_safety_augmentation | ncb-synthetic-stress-0558f914b0d8e6af | synthetic_stress | ncb-claim-e5f4736ba285492f | {
"claim_id": "neg_random_label_hcp_aging_s3",
"covariates": [
"age",
"sex",
"site"
],
"discovery_cohort": "neg_random_label_hcp_aging_s3_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "bench_group"
},
"outco... | 0558f914b0d8e6af1cc80c25d87ae31dbf6d3c1644b91c484700b940bdebecfa | ready | fMRI-FC | 0558f914b0d8e6af1cc80c25d87ae31dbf6d3c1644b91c484700b940bdebecfa | [
{
"prior_label": "known_null",
"source_citation": "synthetic_stress",
"source_collection": "synthetic_stress_v7",
"source_id": "neg_random_label_hcp_aging_s3",
"source_mode": "synthetic_stress",
"source_path": "review-stage/claim-search-safety-gpt55-r10-c10-v7/gates/known_negative_results.js... | Programmatic synthetic known-null/fragile negative stress claim. | bc9561cf36451f71dc170eed589166cd8b983c6f180f4002d802967d428dd31f | ncb-synthetic-stress-0558f914b0d8e6af | f55822497d3d317b6951b21f635480be2a35ccb4ea3df8f688cd8d653644646f | ncb-sem-e5f4736ba285492f | synthetic_stress | [
"ncb21-task-04fa81db8cc4cf61"
] |
[
"neg_site_confound_fbirn_s3"
] | aligned_with_safety_augmentation | ncb-synthetic-stress-061d1b244a34b451 | synthetic_stress | ncb-claim-8d1222215fedf5fc | {
"claim_id": "neg_site_confound_fbirn_s3",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "neg_site_confound_fbirn_s3_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "bench_group"
},
"outcome": "fc_between_n... | 061d1b244a34b451a4973d4eb1f9f1ca0a9bf851d059f082b66092b2f08bb1a3 | ready | fMRI-FC | 061d1b244a34b451a4973d4eb1f9f1ca0a9bf851d059f082b66092b2f08bb1a3 | [
{
"prior_label": "known_null",
"source_citation": "synthetic_stress",
"source_collection": "synthetic_stress_v7",
"source_id": "neg_site_confound_fbirn_s3",
"source_mode": "synthetic_stress",
"source_path": "review-stage/claim-search-safety-gpt55-r10-c10-v7/gates/known_negative_results.json"... | Programmatic synthetic known-null/fragile negative stress claim. | bc9561cf36451f71dc170eed589166cd8b983c6f180f4002d802967d428dd31f | ncb-synthetic-stress-061d1b244a34b451 | 7f40a346bcefe0b597b5c0fef2fb543dca673a60ba4be31807aff17aa7312a5c | ncb-sem-8d1222215fedf5fc | synthetic_stress | [
"ncb21-task-7ae540af62da3c12"
] |
[
"neg_site_confound_oasis3_s3"
] | aligned_with_safety_augmentation | ncb-synthetic-stress-064719283da9679c | synthetic_stress | ncb-claim-c7a7434678d2c966 | {
"claim_id": "neg_site_confound_oasis3_s3",
"covariates": [
"age",
"sex",
"eTIV"
],
"discovery_cohort": "neg_site_confound_oasis3_s3_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "bench_group"
},
"outcome":... | 064719283da9679ced5bd065909fa8877cd1b4852ca9b0a39db376c83c19765e | ready | sMRI | 064719283da9679ced5bd065909fa8877cd1b4852ca9b0a39db376c83c19765e | [
{
"prior_label": "known_null",
"source_citation": "synthetic_stress",
"source_collection": "synthetic_stress_v7",
"source_id": "neg_site_confound_oasis3_s3",
"source_mode": "synthetic_stress",
"source_path": "review-stage/claim-search-safety-gpt55-r10-c10-v7/gates/known_negative_results.json... | Programmatic synthetic known-null/fragile negative stress claim. | bc9561cf36451f71dc170eed589166cd8b983c6f180f4002d802967d428dd31f | ncb-synthetic-stress-064719283da9679c | d21951525df5a92d120197b54d999082a1a0fe85e4be85f678ca30da66658403 | ncb-sem-c7a7434678d2c966 | synthetic_stress | [
"ncb21-task-b691ac42ecffb6ff"
] |
[
"neg_site_confound_adni_fmri_s3"
] | aligned_with_safety_augmentation | ncb-synthetic-stress-06e49e0c9bfc3666 | synthetic_stress | ncb-claim-064d61debc7f3906 | {
"claim_id": "neg_site_confound_adni_fmri_s3",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "neg_site_confound_adni_fmri_s3_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "bench_group"
},
"outcome": "fc_f... | 06e49e0c9bfc3666a5358fda403723fd979220c507cf65958e3638421a37f45e | ready | fMRI-FC | 06e49e0c9bfc3666a5358fda403723fd979220c507cf65958e3638421a37f45e | [
{
"prior_label": "known_null",
"source_citation": "synthetic_stress",
"source_collection": "synthetic_stress_v7",
"source_id": "neg_site_confound_adni_fmri_s3",
"source_mode": "synthetic_stress",
"source_path": "review-stage/claim-search-safety-gpt55-r10-c10-v7/gates/known_negative_results.j... | Programmatic synthetic known-null/fragile negative stress claim. | bc9561cf36451f71dc170eed589166cd8b983c6f180f4002d802967d428dd31f | ncb-synthetic-stress-06e49e0c9bfc3666 | 0f3b379b8c32ebfa280be7c513cf0e34357f18fd5257d64afd98681190448b0b | ncb-sem-064d61debc7f3906 | synthetic_stress | [
"ncb21-task-3888f34a7ee0dbb2"
] |
[
"neg_site_confound_adhd200_s1"
] | aligned_with_safety_augmentation | ncb-synthetic-stress-096741f8365b47ec | synthetic_stress | ncb-claim-d8585cd2fa6529e7 | {
"claim_id": "neg_site_confound_adhd200_s1",
"covariates": [
"age",
"sex"
],
"discovery_cohort": "neg_site_confound_adhd200_s1_DISC",
"estimand": {
"direction": "two_sided",
"group": {
"case": "case",
"control": "control",
"var": "bench_group"
},
"outcome": "fc_fc_Co... | 096741f8365b47ecb19243e6f39369963b57310b3868f7a6695b52afb135005c | ready | fMRI-FC | 096741f8365b47ecb19243e6f39369963b57310b3868f7a6695b52afb135005c | [
{
"prior_label": "known_null",
"source_citation": "synthetic_stress",
"source_collection": "synthetic_stress_v7",
"source_id": "neg_site_confound_adhd200_s1",
"source_mode": "synthetic_stress",
"source_path": "review-stage/claim-search-safety-gpt55-r10-c10-v7/gates/known_negative_results.jso... | Programmatic synthetic known-null/fragile negative stress claim. | bc9561cf36451f71dc170eed589166cd8b983c6f180f4002d802967d428dd31f | ncb-synthetic-stress-096741f8365b47ec | 20bb58f90bbf73c2c07e0b26f3841c8057b7a1077762c36e08c88b168f6bea87 | ncb-sem-d8585cd2fa6529e7 | synthetic_stress | [
"ncb21-task-c10905f83a2b5a38"
] |
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