{"id":"W2529482995","doi":"10.1503/cmaj.150942","title":"Job insecurity and risk of diabetes: a meta-analysis of individual participant data","year":2016,"lang":"en","type":"review","venue":"Canadian Medical Association Journal","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Economic and Social Research Council; Medical Research Council; NordForsk; British Heart Foundation","keywords":"Medicine; Confidence interval; Odds ratio; Cohort study; Demography; Diabetes mellitus; Meta-analysis; National Health and Nutrition Examination Survey; Cohort; Gerontology; Socioeconomic status; Environmental health; Population; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0229548,0.002778925,0.01321693,0.006033805,0.0007846361,0.003583909,0.00211009,0.002231834,0.002554532],"category_scores_gemma":[0.04184644,0.001687347,0.05760277,0.006654297,0.0007062232,0.00155062,0.001842366,0.002349942,0.0002547148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001669534,"about_ca_system_score_gemma":0.001897636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00606965,"about_ca_topic_score_gemma":0.009331941,"domain_scores_codex":[0.9867641,0.007872115,0.00278212,0.001285843,0.0009140873,0.0003817531],"domain_scores_gemma":[0.9633889,0.02871604,0.003893998,0.002111349,0.001498055,0.0003916045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002345627,0.00002208591,0.009208387,0.03065922,0.9533778,0.00008221489,0.00003330013,0.0004603408,0.0001520027,0.00004285791,0.0002618749,0.003354379],"study_design_scores_gemma":[0.0004508823,0.0001203762,0.004718214,0.002070744,0.9917257,0.00005587028,0.00001907644,0.0002259701,0.00007683549,0.0001271117,0.0003952959,0.00001396496],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04398689,0.9485779,0.003243562,0.0005826171,0.0004495655,0.0004233017,0.002121905,0.0001186146,0.0004957831],"genre_scores_gemma":[0.7252223,0.2614391,0.006923991,0.001391412,0.0004211199,0.001276972,0.002740328,0.0001031276,0.0004816643],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0229548,"threshold_uncertainty_score":0.1213981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3063213910191683,"score_gpt":0.4651381081937865,"score_spread":0.1588167171746181,"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."}}