{"id":"W2260364343","doi":"","title":"Interactions between Disability Support Programs: Some Canadian Evidence","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Disability insurance; Unemployment; Welfare; Pension; Compensation (psychology); Disability pension; Social insurance; Disability benefits; Actuarial science; Public economics; Pension plan; Income Support; Economics; Demographic economics; Business; Psychology; Social security; Economic growth; Finance; Macroeconomics; Medicine; Social psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004119453,0.0006800765,0.001173761,0.004372831,0.00413303,0.00325231,0.002071332,0.001174956,0.01685483],"category_scores_gemma":[0.02194935,0.0005130679,0.001791537,0.01287645,0.001858006,0.001215398,0.002725911,0.001906271,0.0007233853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03568728,"about_ca_system_score_gemma":0.04095452,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931321,"about_ca_topic_score_gemma":0.9947278,"domain_scores_codex":[0.9915934,0.001305733,0.0004854497,0.001224969,0.003360118,0.002030369],"domain_scores_gemma":[0.9736363,0.009394835,0.005789524,0.001330847,0.007268096,0.002580424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008037332,0.0002623305,0.8494238,0.001400955,0.001634383,0.0004925818,0.004121542,0.00140511,0.0002858776,0.01787671,0.0195177,0.1027753],"study_design_scores_gemma":[0.0001017846,0.00007879375,0.9506246,0.0009503959,0.001460464,0.0001013922,0.003437315,0.0005528833,0.0003095494,0.001381163,0.04092196,0.0000797005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6475338,0.1205289,0.002390587,0.03925006,0.0002907775,0.0002771069,0.03618485,0.0001400396,0.1534038],"genre_scores_gemma":[0.959473,0.025008,0.001047415,0.002840695,0.0001328696,0.00006654147,0.00402216,0.00004811689,0.007361134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03568728,"threshold_uncertainty_score":0.2589306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2207396304635574,"score_gpt":0.4194545712931717,"score_spread":0.1987149408296143,"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."}}