{"id":"W7111196258","doi":"10.1371/journal.pone.0309634.s001","title":"Supplementary material.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Waist; Logistic regression; Cohort; Social support; Linear regression; Circumference; Disease; Cohort study","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001106036,0.0003038137,0.0005823525,0.0002224635,0.0002060949,0.00006666367,0.0001976802,0.0002688121,0.9398158],"category_scores_gemma":[0.0005011208,0.0002823307,0.0004960012,0.000413643,0.00001113489,0.00005259021,0.0002401532,0.0003439412,0.003402865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002380778,"about_ca_system_score_gemma":0.0009917979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002433515,"about_ca_topic_score_gemma":0.00003462758,"domain_scores_codex":[0.9978663,0.0001021164,0.0005070953,0.0004741109,0.0003551832,0.0006952048],"domain_scores_gemma":[0.9986051,0.00008724523,0.00008247931,0.0007377841,0.0001424146,0.0003450336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001181672,0.00006917705,0.0005113354,0.003953725,0.000398565,0.0001331879,0.00007435621,9.558845e-7,0.00003031647,0.00001146547,0.9761741,0.01852471],"study_design_scores_gemma":[0.001496615,0.00008571513,0.01739667,0.008596565,0.0003242822,0.00001827076,0.0001757513,0.00002073276,0.004357018,0.00001546109,0.9673,0.0002129242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001704694,0.005953357,7.378521e-7,0.001249517,0.002085392,0.00117744,0.977702,0.00005146109,0.01007541],"genre_scores_gemma":[0.1188466,0.0003996523,0.00003867757,0.003562839,0.001268722,0.0002299551,0.8710759,0.00003849269,0.004539198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9364129,"threshold_uncertainty_score":0.9999629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02073259262074098,"score_gpt":0.3028069922482822,"score_spread":0.2820743996275412,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}