{"id":"W4280541651","doi":"10.1080/09638288.2022.2074554","title":"The work disability trap: manifestations, causes and consequences of a policy paradox","year":2022,"lang":"en","type":"article","venue":"Disability and Rehabilitation","topic":"Disability Education and Employment","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Work (physics); Rehabilitation; Compensation (psychology); Disability benefits; Nature versus nurture; Medical model of disability; Trap (plumbing); Psychology; Malingering; Risk analysis (engineering); Social psychology; Medicine; Social security; Psychiatry; Economics; Sociology","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":[0.0164242,0.0003583693,0.0006326992,0.00255521,0.00609342,0.01140358,0.001648987,0.004987873,0.003871847],"category_scores_gemma":[0.02150531,0.0003988576,0.0005669076,0.00198374,0.0296274,0.01053528,0.008675289,0.005272901,0.0002070653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01039355,"about_ca_system_score_gemma":0.01039188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003398025,"about_ca_topic_score_gemma":0.002944638,"domain_scores_codex":[0.9891111,0.006543534,0.0004164567,0.0007759516,0.001893039,0.001259857],"domain_scores_gemma":[0.9782825,0.01486507,0.002578027,0.001611337,0.00153785,0.00112522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001449302,0.00003608025,0.001662534,0.00004193854,0.000004335049,0.0002087192,0.003029607,0.00075406,0.00008413251,0.9906788,0.0005784714,0.002906756],"study_design_scores_gemma":[0.00002774231,0.00003569348,0.001641941,0.0001296407,0.00001098935,0.0004122748,0.01531445,0.005163406,0.0002951392,0.964283,0.01265475,0.0000308415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3834372,0.003057268,0.1503899,0.208145,0.0004591154,0.000368622,0.0001834482,0.0001939405,0.2537656],"genre_scores_gemma":[0.9929749,0.0002338852,0.004104473,0.001218422,0.00003791171,0.00009671773,0.000009003566,0.000014516,0.001310286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0164242,"threshold_uncertainty_score":0.08686048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02637249753853236,"score_gpt":0.3456800505491224,"score_spread":0.31930755301059,"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."}}