{"id":"W6977338187","doi":"10.6084/m9.figshare.c.6799259.v1","title":"Can lifestyle factors explain racial and ethnic inequalities in all-cause mortality among US adults?","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"Probability and Statistical Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health; Western University","funders":"","keywords":"Ethnic group; Marital status; Inequality; Race (biology); National Health Interview Survey; Body mass index; Vulnerability (computing); National Death Index; Mediation","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002707617,0.0003084886,0.0005071507,0.0001930457,0.00003736137,0.00005860288,0.0002609575,0.0005047786,0.08274247],"category_scores_gemma":[0.02432719,0.0002802913,0.00007046485,0.0002027894,0.00005528461,0.00005830125,0.000269536,0.0006294695,0.0002452885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001058673,"about_ca_system_score_gemma":0.0001209648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003240259,"about_ca_topic_score_gemma":0.2062365,"domain_scores_codex":[0.997907,0.0002734824,0.0003776352,0.000455769,0.0005000241,0.0004860379],"domain_scores_gemma":[0.9967612,0.002415815,0.000139732,0.0004237969,0.0000469581,0.0002125219],"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":[0.00002695985,0.0001496296,0.006041428,0.007264001,0.0003650852,0.0002721823,0.004505239,3.871263e-7,2.840236e-7,0.003500183,0.9769395,0.0009351172],"study_design_scores_gemma":[0.004889515,0.000644065,0.5211829,0.07495822,0.0005241816,0.000007367865,0.005139075,0.000992035,0.0000834177,0.1681998,0.2174603,0.00591914],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.02407058,0.0004400018,0.000002656232,0.00006197416,0.0001000113,0.001615964,0.9394625,0.0007337797,0.03351256],"genre_scores_gemma":[0.1949595,0.0006656863,0.0008045142,0.0002844812,0.001617646,0.005068391,0.3193629,0.005168406,0.4720685],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.7594792,"threshold_uncertainty_score":0.999965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3719981731597194,"score_gpt":0.4381246028231863,"score_spread":0.06612642966346693,"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."}}