{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001787991,0.0003614458,0.0008629962,0.001367239,0.0006000409,0.002416968,0.0008850642,0.0009939336,0.008990356],"category_scores_gemma":[0.01080266,0.0004009941,0.0009676315,0.001902905,0.0009091249,0.001639761,0.002244748,0.001020919,0.0009109379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00093729,"about_ca_system_score_gemma":0.001526434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02103541,"about_ca_topic_score_gemma":0.02309568,"domain_scores_codex":[0.9981494,0.0006396448,0.0001386642,0.0002671193,0.0003557703,0.0004494292],"domain_scores_gemma":[0.994387,0.002710996,0.0018407,0.0003702306,0.0002766517,0.0004143559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000385585,0.000174024,0.889731,0.0002507487,0.0002942749,0.0007259732,0.001602123,0.02574709,0.0007471332,0.04798173,0.001138848,0.03122161],"study_design_scores_gemma":[0.000150468,0.0004379611,0.7270442,0.0004509408,0.0004335061,0.002141187,0.006516541,0.1772684,0.002070839,0.0494555,0.03388041,0.0001499417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978682,0.001021473,0.01200421,0.0005664919,0.00002876101,0.00008203828,0.001378294,0.00004699996,0.006189738],"genre_scores_gemma":[0.9932824,0.000290649,0.0015167,0.00004354128,0.00001038134,0.00004686388,0.0008946133,0.00001162423,0.00390316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02103541,"threshold_uncertainty_score":0.04182595,"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."}}