{"id":"W4366992484","doi":"10.1016/j.ssmph.2023.101414","title":"Mental health and labor supply: Evidence from Canada","year":2023,"lang":"en","type":"article","venue":"SSM - Population Health","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Instrumental variable; Spillover effect; Psychology; Demographic economics; Psychiatry; Economics; Econometrics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001510426,0.0002981935,0.0007007492,0.003255524,0.003215804,0.002333291,0.001255974,0.0006413693,0.007129727],"category_scores_gemma":[0.00805933,0.0003383553,0.0007711286,0.01073557,0.001236878,0.0004718358,0.001627381,0.001062252,0.000363907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03352316,"about_ca_system_score_gemma":0.07576404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973755,"about_ca_topic_score_gemma":0.9983482,"domain_scores_codex":[0.9978862,0.0001843459,0.0001433703,0.0002149089,0.0009503846,0.0006207995],"domain_scores_gemma":[0.9890934,0.001959084,0.002104642,0.0003681759,0.004717262,0.001757351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002282543,0.00008221412,0.952679,0.0007495057,0.0003756902,0.0003224297,0.001911864,0.0003973015,0.00007329856,0.002423578,0.0130871,0.02766974],"study_design_scores_gemma":[0.00003287721,0.00002083971,0.9853703,0.0008374492,0.0002187653,0.0000618224,0.002766228,0.000242415,0.00005383315,0.0002031706,0.01016716,0.00002509677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8554062,0.0494246,0.0004678849,0.01590299,0.0002235308,0.0001251259,0.03627351,0.00003361585,0.0421425],"genre_scores_gemma":[0.9710142,0.01909298,0.0002364419,0.001326537,0.00006660971,0.00002440536,0.005261456,0.00001439332,0.002963026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03352316,"threshold_uncertainty_score":0.2432287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09626848669155673,"score_gpt":0.4514740351573205,"score_spread":0.3552055484657637,"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."}}