{"id":"W3121130931","doi":"10.2139/ssrn.3217483","title":"Financial Incentives and Earnings of Disability Insurance Recipients: Evidence from a Notch Design","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Austrian Science Fund; Australian Government; U.S. Social Security Administration","keywords":"Earnings; Incentive; Disability insurance; Liability; Earnings response coefficient; Economics; Business; Finance; Microeconomics; Social security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03530484,0.0007764043,0.001585863,0.001282813,0.001584465,0.002726926,0.002481244,0.002746578,0.01053524],"category_scores_gemma":[0.06364342,0.0005774013,0.001445172,0.001117348,0.002379887,0.001967827,0.002262042,0.001132736,0.001210198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195955,"about_ca_system_score_gemma":0.001767341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004935387,"about_ca_topic_score_gemma":0.006224471,"domain_scores_codex":[0.9740295,0.01960551,0.0017541,0.001851393,0.00152962,0.001229847],"domain_scores_gemma":[0.9354539,0.04022823,0.01266401,0.00712688,0.002151652,0.002375357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2231686,0.03265679,0.643212,0.001264459,0.007771824,0.0007849971,0.004755669,0.00268336,0.001519889,0.01297473,0.003121688,0.0660861],"study_design_scores_gemma":[0.0835776,0.122244,0.6629452,0.001593729,0.02319553,0.0007499014,0.01369488,0.02895466,0.004130524,0.04165312,0.01666639,0.0005943523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954339,0.0006325038,0.001524798,0.0002059573,0.0001076877,0.0003377022,0.0003838877,0.000008235268,0.001365346],"genre_scores_gemma":[0.994538,0.0002331893,0.0009920578,0.0004001113,0.00006971949,0.0004447151,0.0003430761,0.000006709319,0.002972539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03530484,"threshold_uncertainty_score":0.186712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1127557262162332,"score_gpt":0.385934895519419,"score_spread":0.2731791693031858,"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."}}