{"id":"W4386531289","doi":"10.1002/pds.5693","title":"Defining opioid naïve and implications for monitoring opioid use: A population‐based study in Alberta, Canada","year":2023,"lang":"en","type":"article","venue":"Pharmacoepidemiology and Drug Safety","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"College of Physicians and Surgeons of Ontario; University of Alberta","funders":"Government of Alberta","keywords":"Medicine; Opioid; Pharmacoepidemiology; Population; Public health; Anesthesia; Internal medicine; Pharmacology; Medical prescription; Environmental health","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":[0.0006997396,0.0001970384,0.0004673469,0.0001504945,0.0002339343,0.000007269306,0.00005400731,0.00006034043,0.000007016994],"category_scores_gemma":[0.0009159777,0.0001820434,0.00004013638,0.0002554641,0.0000255407,0.00007744112,0.00005325249,0.0001752093,0.000002306047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001646434,"about_ca_system_score_gemma":0.0002660796,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4323406,"about_ca_topic_score_gemma":0.1928326,"domain_scores_codex":[0.9984218,0.000222534,0.0004740329,0.0004402988,0.00006622646,0.000375075],"domain_scores_gemma":[0.9950611,0.004440863,0.00009850048,0.0001941087,0.00004465934,0.0001607588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002023397,0.000107259,0.9942585,0.00008413372,0.00007810181,0.00000550739,0.0006322224,0.0002601345,0.00002830918,0.0003565747,0.0007815561,0.003205374],"study_design_scores_gemma":[0.003392873,0.00006360153,0.9917046,0.00004767041,0.0001502076,0.000004713495,0.0004804709,0.001992998,0.00003415145,0.0003121919,0.001671117,0.0001453978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875527,0.0008774851,0.00006645727,0.009768258,0.0002482259,0.001303037,0.0000979632,0.00005468039,0.00003116984],"genre_scores_gemma":[0.9968877,0.0003667639,0.0008904956,0.0007679857,0.00006150026,0.0005048097,0.0003560531,0.00002388205,0.0001408062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.239508,"threshold_uncertainty_score":0.8218961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03853573158377777,"score_gpt":0.3691192914584644,"score_spread":0.3305835598746866,"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."}}