{"id":"W7084132198","doi":"10.6084/m9.figshare.30215617","title":"Additional file 5 of Leveraging multigenerational health data to enhance mental disorder risk prediction: a population-based cohort study","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Safety Warnings and Signage","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Mental health; Anxiety; Mood; Cohort study; Grandparent; Cohort; Mood disorders; Self-rated health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001638807,0.0008938659,0.001104154,0.001802537,0.001294049,0.001236897,0.001569677,0.001271904,0.7305332],"category_scores_gemma":[0.03177667,0.0005775644,0.001318307,0.003398306,0.0002163827,0.001618282,0.001070114,0.001007464,0.05793497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007300809,"about_ca_system_score_gemma":0.001398572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01938348,"about_ca_topic_score_gemma":0.02464301,"domain_scores_codex":[0.9991906,0.0001969138,0.0001745432,0.0002052545,0.0001154029,0.0001173355],"domain_scores_gemma":[0.9810923,0.01367291,0.001600683,0.001322228,0.00173761,0.0005742995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005602168,0.0001486572,0.02005531,0.002001271,0.0001649289,0.0001609972,0.000132025,0.0004402488,0.00007810428,0.0009007928,0.9669495,0.008408079],"study_design_scores_gemma":[0.02187715,0.001299116,0.3726023,0.01113316,0.00209377,0.002492704,0.002376623,0.006437636,0.00134599,0.0189528,0.5588621,0.0005266717],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008090833,0.00002284444,0.0002037059,0.0001069167,0.00001786084,0.0001108097,0.9979892,0.00006267738,0.0006769789],"genre_scores_gemma":[0.04042379,0.0002754127,0.004772722,0.001059921,0.0002110241,0.005255019,0.933179,0.000342113,0.01448104],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7305332,"threshold_uncertainty_score":0.3843616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04045721617677404,"score_gpt":0.3540489415761105,"score_spread":0.3135917253993364,"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."}}