{"id":"W1568763256","doi":"10.1177/001979390606000107","title":"Disabled Workers and Wage Losses: Some Evidence from Workers with Occupational Injuries","year":2006,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Wage; Work (physics); Labour economics; Demographic economics; Wage growth; Hourly wage; Economics; Engineering","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":[0.0019834,0.0001861494,0.0004187466,0.003028347,0.0006718241,0.001215045,0.0008356665,0.0006321086,0.002086911],"category_scores_gemma":[0.01096769,0.0002793704,0.0004783494,0.005462574,0.0009374106,0.0005026938,0.0009319187,0.0005572126,0.0002097619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002620979,"about_ca_system_score_gemma":0.002434629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5614452,"about_ca_topic_score_gemma":0.6306267,"domain_scores_codex":[0.998403,0.0002835351,0.0001488067,0.0001322888,0.000757173,0.0002752591],"domain_scores_gemma":[0.9902083,0.00250339,0.00509696,0.0002813943,0.001404837,0.0005051826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001866319,0.0000470145,0.975607,0.0004850834,0.0001976114,0.0002272013,0.001101734,0.00009848709,0.00005662163,0.0001796407,0.001023546,0.02078927],"study_design_scores_gemma":[0.000004941856,0.0000231891,0.9979271,0.0001352245,0.00004304922,0.00006140859,0.0004248757,0.00001671821,0.00001016363,0.00002492451,0.0013258,0.000002480607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9069253,0.08048918,0.00009977508,0.002490358,0.00003234234,0.00003055396,0.002449129,0.000004450702,0.007479012],"genre_scores_gemma":[0.9551284,0.0420646,0.00005170389,0.0003188799,0.00006017401,0.00001024126,0.001449386,0.000002317209,0.0009142825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5614452,"threshold_uncertainty_score":0.882275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2026519407287506,"score_gpt":0.4050232073188631,"score_spread":0.2023712665901125,"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."}}