{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000496344,0.00008925858,0.0001361825,0.0001988363,0.00003989318,0.00001010046,0.00004054512,0.00007283731,0.0001904278],"category_scores_gemma":[0.00002390759,0.00008467252,0.0000306694,0.0002149396,0.00001286579,0.00005107137,0.000004320995,0.0001339758,0.0001322955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003121777,"about_ca_system_score_gemma":0.0002678938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1002775,"about_ca_topic_score_gemma":0.1942008,"domain_scores_codex":[0.9993215,0.00001080616,0.0001429201,0.000151169,0.0001049409,0.0002686819],"domain_scores_gemma":[0.9995531,0.000002401024,0.00001936265,0.0002008001,0.00002986733,0.0001944351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007690059,0.0008622693,0.9525988,0.0000438276,0.0000493333,0.0002313671,0.00216916,0.00007688626,0.002796578,0.002803424,0.009363961,0.02892748],"study_design_scores_gemma":[0.001235423,0.0002011946,0.9888543,0.00009543767,0.00002133941,0.000006997925,0.0001228625,0.0002466428,0.0001294743,0.0002726523,0.008741843,0.00007186669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972893,0.000483341,0.0000209572,0.009520312,0.0001326431,0.0005140666,0.000007423071,0.00004418745,0.01638408],"genre_scores_gemma":[0.9962924,0.00004335215,0.001079162,0.001178998,0.00005260409,0.00001442864,0.0001458547,0.000008303987,0.001184884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09392335,"threshold_uncertainty_score":0.9057139,"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."}}