{"id":"W44111103","doi":"","title":"The impact of retirement on mental health in Canada.","year":2013,"lang":"en","type":"article","venue":"PubMed","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Endogeneity; Instrumental variable; Mental health; Marital status; Population; Fixed effects model; Depression (economics); Demography; Demographic economics; Health and Retirement Study; Context (archaeology); Logistic regression; Scale (ratio); Logit; Psychology; Gerontology; Panel data; Economics; Medicine; Geography; Econometrics; Psychiatry; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009101594,0.00006091282,0.0001046093,0.00001640615,0.0002205546,0.00002758318,0.0001818394,0.00001401681,0.0000871742],"category_scores_gemma":[0.00008958187,0.00003872193,0.00004173311,0.0001223009,0.0001060213,0.00004771611,0.00002169377,0.00005123472,0.000004014982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003377246,"about_ca_system_score_gemma":0.0008191669,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930136,"about_ca_topic_score_gemma":0.9890465,"domain_scores_codex":[0.9986357,0.0001878933,0.0002208983,0.0001124372,0.0003768426,0.0004662393],"domain_scores_gemma":[0.9995208,0.00006397894,0.00008174835,0.0001513201,0.00002347257,0.000158731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002809123,0.0001805976,0.6585863,0.00001086568,0.00002841347,1.670929e-7,0.004752104,0.00002061633,0.000002599755,0.001851889,0.1154075,0.2191309],"study_design_scores_gemma":[0.0001414647,0.00002441289,0.9909946,0.000005136529,5.539819e-7,1.385083e-8,0.002761988,0.000006617152,0.00001479302,0.0005452912,0.005460798,0.00004434158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9506904,0.00008686676,1.010491e-7,0.02741368,0.0002466475,0.001630265,0.000008211508,0.000006407953,0.01991736],"genre_scores_gemma":[0.9986525,0.0001913562,0.00000138052,0.0002053269,0.0000340622,0.0004506236,0.000001803411,0.000003425871,0.0004595068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3324083,"threshold_uncertainty_score":0.8831379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1493682770021676,"score_gpt":0.386833927930005,"score_spread":0.2374656509278374,"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."}}