{"id":"W4205893401","doi":"10.1177/00221465211066855","title":"Dualized Labor Market and Polarized Health: A Longitudinal Perspective on the Association between Precarious Employment and Mental and Physical Health in Germany","year":2022,"lang":"en","type":"article","venue":"Journal of Health and Social Behavior","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Mental health; German; Socioeconomic status; Demographic economics; Unemployment; Poverty; Polarization (electrochemistry); Association (psychology); Physical health; Psychology; Labour economics; Economics; Environmental health; Medicine; Economic growth; Geography; Population; Psychiatry","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003743903,0.000178678,0.0007962642,0.0001212982,0.003700893,0.00002569979,0.00006248993,0.00006536823,0.00001988807],"category_scores_gemma":[0.00007920924,0.0001366953,0.00005654235,0.0001227031,0.00008218149,0.00009360589,0.0001736765,0.001086112,2.266516e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711859,"about_ca_system_score_gemma":0.0007199818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003139636,"about_ca_topic_score_gemma":0.0007161081,"domain_scores_codex":[0.9953603,0.002617031,0.0007882705,0.0002280039,0.00046734,0.0005390632],"domain_scores_gemma":[0.9978989,0.0005834212,0.001122108,0.00005710506,0.00009689453,0.0002415321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003585698,0.0002178219,0.851093,0.0000904437,0.00007124506,0.000003648335,0.1373475,1.155232e-8,0.00000610182,0.0007529854,0.006088813,0.003969824],"study_design_scores_gemma":[0.003210603,0.00191266,0.9484034,0.00007388665,0.00004082008,0.000005869805,0.04030108,0.000001507155,1.512371e-7,0.0003930451,0.005552561,0.0001044797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7938945,0.004170607,6.455157e-7,0.2004655,0.000175962,0.001042606,0.0002167659,0.000009313278,0.00002401976],"genre_scores_gemma":[0.9919717,0.002295279,0.00002075278,0.005070939,0.0003020921,0.0001030755,0.00001076223,0.00001917832,0.0002062036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1980772,"threshold_uncertainty_score":0.9975961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0576230150550323,"score_gpt":0.4320450161048974,"score_spread":0.3744220010498651,"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."}}