{"id":"W3214653923","doi":"10.3390/jpm11111174","title":"Use of Drug Claims Data and a Medication Risk Score to Assess the Impact of CYP2D6 Drug Interactions among Opioid Users on Healthcare Costs","year":2021,"lang":"en","type":"article","venue":"Journal of Personalized Medicine","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Hydrocodone; Oxycodone; Medicine; Opioid; CYP2D6; Tramadol; Drug; Codeine; Propensity score matching; Health care; Pharmacology; Emergency medicine; Internal medicine; Morphine; Analgesic; Cytochrome P450","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001027065,0.0002287134,0.0008567097,0.0003189874,0.00008633172,0.000013813,0.0002425749,0.00004881529,0.0002140163],"category_scores_gemma":[0.001992327,0.0001276649,0.0001837634,0.0004501889,0.0002929926,0.0002488557,0.00009688056,0.0006011254,0.000001313197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003616883,"about_ca_system_score_gemma":0.0008813153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003718271,"about_ca_topic_score_gemma":0.000575873,"domain_scores_codex":[0.997288,0.0003542677,0.0009072077,0.0002795209,0.0009599491,0.0002110882],"domain_scores_gemma":[0.9957958,0.001000904,0.001090418,0.0007521503,0.0009176377,0.0004431047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003306863,0.001377487,0.8698918,0.0005790316,0.002505349,0.0002534141,0.0433586,0.00007446187,0.006786265,0.0001089864,0.05667333,0.01508442],"study_design_scores_gemma":[0.008028233,0.001877714,0.9432271,0.007745278,0.001870313,0.0005205986,0.03111711,0.00096338,0.001554416,0.00007007536,0.002859343,0.0001664348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728274,0.003445366,0.0001238851,0.02250797,0.0003379851,0.0004851605,0.0002167331,0.00000716241,0.00004833241],"genre_scores_gemma":[0.9922599,0.005572623,0.0008507117,0.0005878854,0.0002829343,0.000007576947,0.0001716461,0.0000287113,0.0002380191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0733353,"threshold_uncertainty_score":0.5620938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09258551730417791,"score_gpt":0.4083455812885194,"score_spread":0.3157600639843415,"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."}}