{"id":"W2017674415","doi":"10.1097/brs.0b013e3181971dea","title":"Opioid Prescriptions in Canadian Workers’ Compensation Claimants","year":2009,"lang":"en","type":"article","venue":"Spine","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Workers Compensation Board of Alberta; University of Alberta","funders":"Workers' Compensation Board – Alberta","keywords":"Medical prescription; Medicine; Opioid; Narcotic; Logistic regression; Workers' compensation; Cohort; Emergency medicine; Physical therapy; Anesthesia; Internal medicine; Compensation (psychology); Nursing; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000815359,0.0003314887,0.0003061692,0.001977277,0.001916125,0.0009580138,0.0009857574,0.0004836195,0.001929427],"category_scores_gemma":[0.002023484,0.0004124136,0.0004638923,0.002905479,0.0004345586,0.000324762,0.0004990258,0.0006651017,0.0002201678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01220478,"about_ca_system_score_gemma":0.009642241,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.96075,"about_ca_topic_score_gemma":0.9641448,"domain_scores_codex":[0.9988888,0.00005772826,0.0000519408,0.0001496934,0.000521972,0.0003299803],"domain_scores_gemma":[0.9984365,0.0000738765,0.0005566393,0.00005500402,0.0006056218,0.0002724035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006507942,0.00003591632,0.9973304,0.00002338486,0.00002637689,0.00006404462,0.000204657,0.00002512093,0.00006224181,0.00002426929,0.0004815102,0.001656951],"study_design_scores_gemma":[0.000005571367,0.00002561341,0.9991762,0.00001379128,0.00001242933,0.00005366137,0.0001790803,0.00007455672,0.00002160967,0.000004137644,0.0004290789,0.00000428366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939289,0.0006530729,0.00007059519,0.000136526,0.00001121212,0.0000647962,0.003826665,0.000007476644,0.001300713],"genre_scores_gemma":[0.9970232,0.0003814402,0.000100115,0.00008158553,0.000008455424,0.0000260359,0.001782049,0.000002336336,0.0005948667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03925002,"threshold_uncertainty_score":0.0885523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01646669191981082,"score_gpt":0.2826169229721803,"score_spread":0.2661502310523695,"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."}}