{"id":"W2345669306","doi":"10.1111/1475-6773.12500","title":"Industrial Injury Hospitalizations Billed to Payers Other Than Workers' Compensation: Characteristics and Trends by State","year":2016,"lang":"en","type":"article","venue":"Health Services Research","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Institute for Work & Health","funders":"National Institute for Occupational Safety and Health","keywords":"Workers' compensation; Healthcare Cost and Utilization Project; Health care; Medicine; Odds; Occupational safety and health; Logistic regression; Occupational injury; Agency (philosophy); Injury prevention; Ethnic group; Poison control; Environmental health; Demography; Compensation (psychology); Economics; Psychology; Economic growth; Political science","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":[0.0005944961,0.0001248373,0.0002500604,0.002090975,0.0003279346,0.0005347002,0.0004695741,0.0002663854,0.001906184],"category_scores_gemma":[0.002719752,0.0002031901,0.0004328359,0.002486981,0.0002173021,0.0005492737,0.0004716554,0.0004117798,0.0002443483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007005131,"about_ca_system_score_gemma":0.0006308931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02521116,"about_ca_topic_score_gemma":0.04417029,"domain_scores_codex":[0.9994504,0.00006097793,0.0001018136,0.000136652,0.0001355402,0.000114479],"domain_scores_gemma":[0.9943324,0.0004714534,0.004128145,0.0001687432,0.0005806411,0.0003185008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002147509,0.0000165024,0.9990624,0.000004753521,0.00001728817,0.00000891997,0.00003331479,0.00003885619,0.0000478754,0.00001434996,0.0001337908,0.0006006273],"study_design_scores_gemma":[8.736666e-7,0.00001498095,0.999638,0.000003882331,0.000004532559,0.00003685466,0.00009691889,0.0001102288,0.00002363752,0.000005039076,0.00006403444,0.000001090866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967844,0.000177777,0.00008896073,0.00006812612,0.000002908568,0.000009753902,0.002394087,0.00000936975,0.0004645691],"genre_scores_gemma":[0.9968891,0.0001316433,0.00007287791,0.00001312556,0.000006012909,0.00001215488,0.002689271,0.000003162745,0.0001826108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02521116,"threshold_uncertainty_score":0.05012882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1143863686718782,"score_gpt":0.5004171908729791,"score_spread":0.3860308222011009,"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."}}