{"id":"W3106926285","doi":"10.1097/ede.0000000000001304","title":"The Serpent of Their Agonies","year":2020,"lang":"en","type":"article","venue":"Epidemiology","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute on Minority Health and Health Disparities; National Institute on Drug Abuse","keywords":"Socioeconomic status; Mental health; Odds; Odds ratio; Psychology; Confidence interval; Operationalization; Mental illness; Social stratification; Cohort; Demography; Medicine; Logistic regression; Psychiatry; Sociology; Population; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001334787,0.00007720981,0.0003415602,0.000008330108,0.0005397616,3.155608e-7,0.0001651606,0.00007518451,0.0001364114],"category_scores_gemma":[0.003368366,0.00003833606,0.0000680025,0.00005978784,0.0001751371,0.00001463287,0.000184845,0.000253213,0.0001350854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001151254,"about_ca_system_score_gemma":0.00003450085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001036939,"about_ca_topic_score_gemma":0.00008582315,"domain_scores_codex":[0.9977642,0.00125248,0.0005028624,0.0001273925,0.00003263593,0.0003204522],"domain_scores_gemma":[0.991399,0.008124168,0.0002147198,0.0001537451,0.0000562457,0.00005214283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006307603,0.000006467965,0.675908,0.00005438352,0.00007410318,3.552118e-7,0.006261742,0.000003551394,0.0000598846,0.06838875,0.2446109,0.004568764],"study_design_scores_gemma":[0.0001913366,0.0001139823,0.2691124,0.00001906224,0.000007988529,1.164515e-7,0.00381542,0.00004049604,0.00002494416,0.01735629,0.7092645,0.00005346428],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3358195,0.005546853,0.0002827844,0.6350305,0.0009304462,0.0004922198,0.00001768594,0.00009549014,0.02178456],"genre_scores_gemma":[0.980107,0.001204777,0.00006752461,0.01703853,0.0004272354,0.0000660452,0.000004299359,0.000008672426,0.00107589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6442875,"threshold_uncertainty_score":0.4151465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2416150447759084,"score_gpt":0.4687980152084056,"score_spread":0.2271829704324971,"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."}}