{"id":"W4406877205","doi":"10.1177/10482911241312387","title":"Claim Suppression of Occupational Injuries and Illnesses Among Precariously Employed Immigrant Workers in Ontario","year":2025,"lang":"en","type":"article","venue":"NEW SOLUTIONS A Journal of Environmental and Occupational Health Policy","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; McMaster University","funders":"Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Government of Canada","keywords":"Legislation; Legislature; Workers' compensation; Conceptualization; Context (archaeology); Psychological intervention; Qualitative research; Immigration; Occupational safety and health; Political science; Scope (computer science); Enforcement; Compensation (psychology); Public relations; Criminology; Medicine; Law; Psychology; Sociology; Social psychology; Nursing; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001140194,0.0002000601,0.000498341,0.0008776522,0.001037704,0.00001039828,0.0001481555,0.0001977996,0.0002567949],"category_scores_gemma":[0.000241844,0.0001752556,0.00008350254,0.0003468369,0.0003663357,0.0003587916,0.0001961649,0.000835854,0.000004601847],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139785,"about_ca_system_score_gemma":0.009082222,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.174643,"about_ca_topic_score_gemma":0.1547435,"domain_scores_codex":[0.996531,0.00048488,0.001555057,0.0002427501,0.0005564446,0.0006298356],"domain_scores_gemma":[0.9975345,0.00105785,0.0007162167,0.0001496988,0.00009591781,0.0004458556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002140311,0.0002068753,0.9795107,0.0002178225,0.00003221365,0.000001217228,0.002865992,0.00007192985,0.00004907838,0.002818951,0.00270227,0.009382639],"study_design_scores_gemma":[0.002294092,0.0003500287,0.9899576,0.0006988925,0.00001317721,0.000006488729,0.001485368,0.00005693991,0.000006235032,0.001856124,0.003165036,0.0001099745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913777,0.001764844,0.0003719038,0.00476297,0.0003374105,0.0007833611,0.0001829615,0.000006966712,0.0004119305],"genre_scores_gemma":[0.9961232,0.0009798444,0.001012099,0.0008176949,0.0001730697,0.00003927264,0.00006809761,0.00001183282,0.0007749197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01989957,"threshold_uncertainty_score":0.9965354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05378482703704703,"score_gpt":0.4278539692878952,"score_spread":0.3740691422508482,"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."}}