{"id":"W3161656101","doi":"10.1093/aje/kwab144","title":"Unemployment Insurance and Mortality Among the Long-Term Unemployed: A Population-Based Matched-Cohort Study","year":2021,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health","funders":"Canadian Institutes of Health Research","keywords":"Unemployment; Propensity score matching; Medicine; Demography; Population; Cohort; Confidence interval; Cohort study; Environmental health; Economics; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001691973,0.0004067224,0.0004768887,0.0008259034,0.001800513,0.001010366,0.0008348262,0.0008773081,0.001620783],"category_scores_gemma":[0.002590366,0.0006960615,0.001191982,0.001515675,0.0003573355,0.000603886,0.0008807807,0.001279266,0.0003743753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104852,"about_ca_system_score_gemma":0.001656306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1298688,"about_ca_topic_score_gemma":0.1583498,"domain_scores_codex":[0.9990115,0.0001585506,0.00009451524,0.0002834069,0.0001626732,0.0002892795],"domain_scores_gemma":[0.9986588,0.0001086393,0.0003469126,0.0002199742,0.0002409471,0.0004247281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004194895,0.0002589229,0.9971409,0.00001944878,0.0003998659,0.0001059713,0.0001891391,0.00003238746,0.0002517578,0.00004398951,0.0002698315,0.0008683376],"study_design_scores_gemma":[0.00005623948,0.0001958919,0.998601,0.00001698874,0.0002146285,0.00009150237,0.0002505381,0.0002140984,0.00002901228,0.0000273374,0.0002918357,0.00001085135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981754,0.000388415,0.0001387673,0.00004912977,0.00001802249,0.00004160831,0.0009410291,0.000003201244,0.000244363],"genre_scores_gemma":[0.9986482,0.0002173001,0.0001249416,0.00005975097,0.0000173387,0.00003434418,0.0006408247,0.0000028189,0.0002545375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1298688,"threshold_uncertainty_score":0.2582257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07183909609180267,"score_gpt":0.4356248289247886,"score_spread":0.3637857328329859,"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."}}