{"id":"W2904266847","doi":"10.3138/cpp.2018-014","title":"Estimating Under-Claiming of Compensable Workplace Injuries in Alberta, Canada","year":2018,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Workers Compensation Board of Alberta; Athabasca University","funders":"","keywords":"Workers' compensation; Compensation (psychology); Occupational safety and health; Occupational injury; Work (physics); Human factors and ergonomics; Medicine; Environmental health; Business; Actuarial science; Demographic economics; Poison control; Psychology; Economics; Engineering; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004660059,0.000674625,0.0007367971,0.005214042,0.003977493,0.002505802,0.003386322,0.0007210486,0.002159268],"category_scores_gemma":[0.01148542,0.0006506541,0.0007321879,0.008567443,0.001059067,0.0007251688,0.001930538,0.00120663,0.0003374993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06705116,"about_ca_system_score_gemma":0.07705692,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9990554,"about_ca_topic_score_gemma":0.9993234,"domain_scores_codex":[0.9951758,0.000456293,0.0002893775,0.0004991438,0.002473779,0.001105603],"domain_scores_gemma":[0.9882758,0.00109119,0.001558879,0.0004553715,0.007228887,0.00138975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009860939,0.00004542164,0.978493,0.0000759558,0.0001209979,0.0001516008,0.0009611282,0.0009268837,0.0001332144,0.000585644,0.006237059,0.01217039],"study_design_scores_gemma":[0.00001350354,0.00002312326,0.9903195,0.0001183977,0.0000723278,0.00007009562,0.002846722,0.002378221,0.0001192279,0.000127799,0.00388502,0.00002626223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623736,0.003019409,0.001603937,0.00197416,0.0001175795,0.000228298,0.01767595,0.00007610647,0.01293102],"genre_scores_gemma":[0.9853995,0.001534002,0.001456577,0.0004735024,0.0000199495,0.0000548154,0.007126846,0.00001893461,0.003915716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06705116,"threshold_uncertainty_score":0.4864925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06817025848182287,"score_gpt":0.427395806465929,"score_spread":0.3592255479841061,"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."}}