{"id":"W3123009183","doi":"","title":"Disability insurance and unemployment insurance as substitute pathways","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Tobit model; Bivariate analysis; Sample (material); Estimation; Economics; Quarter (Canadian coin); Substitution (logic); Disability insurance; Demographic economics; Labour economics; Actuarial science; Econometrics; Statistics; Economic growth; Geography; Social security; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.005056996,0.0004426401,0.0007230172,0.0001543521,0.0007487132,0.0003681993,0.0009818751,0.0005686278,0.00008281343],"category_scores_gemma":[0.0009552822,0.000486185,0.000215323,0.0002216464,0.003698949,0.0002364091,0.001092369,0.001386385,0.00001715868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002993794,"about_ca_system_score_gemma":0.0009978835,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02038761,"about_ca_topic_score_gemma":0.04163856,"domain_scores_codex":[0.9942188,0.001047791,0.0009686722,0.001609142,0.0008382504,0.001317379],"domain_scores_gemma":[0.9972036,0.0006855761,0.0002464,0.001280907,0.0001668484,0.0004166525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007969863,0.0005846262,0.8985516,0.0002686004,0.00003757622,0.00001134376,0.002611845,0.0009254803,0.00001506367,0.003242635,0.00005344747,0.09361804],"study_design_scores_gemma":[0.0006904562,0.0001022797,0.9396867,0.00027754,0.000007747006,0.000001199186,0.00164091,0.0001565034,0.00007212651,0.02510795,0.03153587,0.0007207558],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8672689,0.0003240808,4.411235e-7,0.0009633031,0.0006665539,0.001680969,0.0001634766,0.00008217739,0.1288501],"genre_scores_gemma":[0.9826536,0.01499985,0.0001328532,0.00006804344,0.0004111452,0.0005330861,0.00005128122,0.00004635381,0.001103803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1277463,"threshold_uncertainty_score":0.999759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1521399249632935,"score_gpt":0.4090464031727236,"score_spread":0.2569064782094301,"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."}}