{"id":"W4214840459","doi":"10.1007/s12630-022-02213-4","title":"Use of a provincial prescription monitoring database to characterize perioperative opioid prescribing for hip and knee arthroplasty","year":2022,"lang":"en","type":"letter","venue":"Canadian Journal of Anesthesia/Journal canadien d anesthésie","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Dalhousie University","keywords":"Arthroplasty; Perioperative; Medicine; Opioid; Medical prescription; Hip arthroplasty; Knee replacement; Database; Physical therapy; Anesthesia; Computer science; Surgery; Internal medicine; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002186892,0.000154927,0.0002940973,0.001111235,0.001494215,0.001125774,0.0009637011,0.00165633,0.001733304],"category_scores_gemma":[0.02092072,0.0003242308,0.0003701838,0.002529094,0.0002892626,0.0006318598,0.0007327446,0.001344227,0.0005033562],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007763838,"about_ca_system_score_gemma":0.01349328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5732244,"about_ca_topic_score_gemma":0.6447331,"domain_scores_codex":[0.9963367,0.0006516831,0.0008578504,0.0002537171,0.001355811,0.00054416],"domain_scores_gemma":[0.9817526,0.005699863,0.003512918,0.0009774294,0.006016627,0.002040616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000176746,0.0002000766,0.9127962,0.0000586402,0.00004883297,0.001564024,0.0008734728,0.0005365317,0.0007448316,0.0002941715,0.05397795,0.02872858],"study_design_scores_gemma":[0.0001314457,0.0001835191,0.9458141,0.0001950693,0.00008117132,0.001845591,0.002994017,0.009395977,0.0009531762,0.0003537592,0.03799107,0.0000610534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8139721,0.0007474172,0.001267717,0.1243198,0.0005817192,0.0005885242,0.01893052,0.0002297781,0.03936232],"genre_scores_gemma":[0.9691831,0.0004573324,0.002275257,0.02018475,0.0002214056,0.0001928914,0.00290693,0.00004630338,0.004531998],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9922361,"threshold_uncertainty_score":0.858578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03284055003480669,"score_gpt":0.241283397578015,"score_spread":0.2084428475432083,"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."}}