{"id":"W2590180332","doi":"10.1200/jco.2013.31.31_suppl.71","title":"Use of pharmacist integration in oncology clinics to identify and resolve moderate to major drug-drug interactions.","year":2013,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Medicine; Pharmacist; Drug; Ambulatory; Adverse effect; Clinical pharmacy; Outpatient clinic; Internal medicine; Emergency medicine; Pharmacy; Family medicine; Pharmacology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007589058,0.0003409281,0.0003501552,0.002149792,0.0009139612,0.001196937,0.0009064354,0.0005891203,0.003463921],"category_scores_gemma":[0.02853699,0.0003664471,0.0004126901,0.0009854147,0.0003951771,0.0009304543,0.001581057,0.0008134735,0.0005905306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002409604,"about_ca_system_score_gemma":0.003972221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006404813,"about_ca_topic_score_gemma":0.0122717,"domain_scores_codex":[0.9904599,0.005024262,0.000869736,0.001007781,0.002188045,0.0004503266],"domain_scores_gemma":[0.9594095,0.01035768,0.01754922,0.001242795,0.003612869,0.007828036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006798518,0.001519508,0.7161884,0.0003554399,0.0001326894,0.000366798,0.001521432,0.0004215,0.0009861112,0.000054947,0.004337311,0.2734361],"study_design_scores_gemma":[0.0003085675,0.002729392,0.9862046,0.0002357462,0.00009511663,0.001304243,0.001093274,0.002435455,0.0005436525,0.00006285015,0.004953127,0.00003403372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733017,0.002441573,0.003026472,0.004076608,0.00008886359,0.001941304,0.0006274959,0.0006849465,0.01381117],"genre_scores_gemma":[0.9884398,0.0007947143,0.008042663,0.001106083,0.00009573353,0.0003765541,0.0002874819,0.00002586335,0.0008310881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007589058,"threshold_uncertainty_score":0.04013526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4628639772188651,"score_gpt":0.6137721017180139,"score_spread":0.1509081244991488,"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."}}