{"id":"W4400352486","doi":"10.1093/occmed/kqae023.1408","title":"O-397 RETIREMENT PENSION POVERTY AMONG INJURED WORKERS WITH LONG TERM WORKERS’ COMPENSATION CLAIMS","year":2024,"lang":"en","type":"article","venue":"Occupational Medicine","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Workers' compensation; Pension; Compensation (psychology); Poverty; Labour economics; Business; Term (time); Disability pension; Medicine; Demographic economics; Environmental health; Economics; Economic growth; Finance; 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":[0.001064304,0.0001868438,0.0003612915,0.001588379,0.005958295,0.001721847,0.0009954197,0.0005557762,0.006351323],"category_scores_gemma":[0.004239254,0.000189436,0.0003737024,0.002022575,0.001261121,0.0008730224,0.002654067,0.0008818409,0.0004230836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01645748,"about_ca_system_score_gemma":0.02866151,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8964183,"about_ca_topic_score_gemma":0.942154,"domain_scores_codex":[0.9985552,0.0001167727,0.00006213773,0.00008692806,0.0004208623,0.0007580208],"domain_scores_gemma":[0.9973787,0.0002075089,0.0007828361,0.00005009418,0.001061907,0.000519001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006961336,0.00009839187,0.9197742,0.0001738386,0.00002371183,0.0004161974,0.05395291,0.00003085915,0.0001501482,0.0004354887,0.006536456,0.01833811],"study_design_scores_gemma":[0.000004289695,0.00004667128,0.8591356,0.0003878795,0.0000193622,0.0001683344,0.1325929,0.000108004,0.00006314058,0.0001447741,0.007312823,0.00001640211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904966,0.0004530678,0.00004118413,0.001217864,0.00002004776,0.00008277503,0.0008104038,0.000003180729,0.006874917],"genre_scores_gemma":[0.9971747,0.0003892029,0.00005632709,0.0002671811,0.00001253296,0.0000533911,0.000335234,0.000002259647,0.001709095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8964183,"threshold_uncertainty_score":0.2083834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1568959293819271,"score_gpt":0.4227875393780379,"score_spread":0.2658916099961108,"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."}}