{"id":"W2907795332","doi":"10.3390/pharmacy7010006","title":"Evaluation of Prescription Adaptation Following Changes to A Provincial Drug Insurance Formulary","year":2019,"lang":"en","type":"article","venue":"Pharmacy","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Formulary; Prescription drug; Medical prescription; Adaptation (eye); Drug; Business; Actuarial science; Medicine; Pharmacology; Psychology","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":[0.00435602,0.0001749577,0.0002962004,0.001541731,0.001871007,0.001354073,0.0009982673,0.000435724,0.001318897],"category_scores_gemma":[0.03434157,0.0002603356,0.0004375448,0.002652899,0.0005787905,0.0004874027,0.001147168,0.000936149,0.0001663545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01041808,"about_ca_system_score_gemma":0.009022381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3987082,"about_ca_topic_score_gemma":0.5092332,"domain_scores_codex":[0.9943812,0.001679225,0.0006004468,0.0003023186,0.002398069,0.0006387878],"domain_scores_gemma":[0.9688317,0.004515316,0.01420283,0.00113867,0.008431479,0.002879924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002645185,0.0002502308,0.983442,0.00003020524,0.00003360645,0.00021071,0.002224471,0.0001910403,0.000187232,0.00004620822,0.0005329818,0.01258684],"study_design_scores_gemma":[0.000005099579,0.0001393182,0.9967659,0.000015338,0.000007739116,0.00007635269,0.001769329,0.0004390785,0.0001068988,0.000009725856,0.0006580652,0.000007239024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972926,0.00009632932,0.00008256199,0.0002692795,0.000008454283,0.0001450579,0.0003796188,0.000009657147,0.001716391],"genre_scores_gemma":[0.9985701,0.0001057308,0.0002697396,0.00009499033,0.000008426699,0.00004231955,0.0004324183,0.000002974894,0.0004732037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3987082,"threshold_uncertainty_score":0.7927749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1299081554342748,"score_gpt":0.3426043152502544,"score_spread":0.2126961598159796,"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."}}