{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002854827,0.001592799,0.001566739,0.003749919,0.001757602,0.004558415,0.003396301,0.003286917,0.8508456],"category_scores_gemma":[0.02232689,0.001060821,0.001204465,0.005031516,0.000569279,0.002625641,0.0030323,0.001860174,0.5651544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602845,"about_ca_system_score_gemma":0.00461797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01178194,"about_ca_topic_score_gemma":0.01501316,"domain_scores_codex":[0.9980676,0.0003459284,0.0002617697,0.0004940954,0.0006059234,0.0002247089],"domain_scores_gemma":[0.9908673,0.004118218,0.0005212373,0.001103766,0.002632711,0.0007567951],"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":[0.0001396865,0.00004074009,0.0007315782,0.001303991,0.0000323813,0.00009070915,0.00006008673,0.0002253383,0.0001672422,0.001747071,0.9765924,0.01886882],"study_design_scores_gemma":[0.0002413971,0.00004896242,0.002181219,0.000809895,0.00003851147,0.0001840469,0.0001217754,0.0003961796,0.0002563198,0.005679432,0.9900064,0.00003589204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004124923,0.0004763786,0.002675683,0.001344169,0.001413409,0.0003615583,0.9550362,0.002872352,0.03540785],"genre_scores_gemma":[0.005327636,0.001274455,0.00969497,0.003809117,0.000639484,0.001769749,0.898411,0.003642718,0.07543086],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1491544,"threshold_uncertainty_score":0.2127506,"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."}}