{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001584893,0.0001088327,0.0002445836,0.0002003916,0.00003716039,0.000028677,0.0001535282,0.000024419,0.00030445],"category_scores_gemma":[0.0001066438,0.0001354109,0.00009474436,0.000166328,0.0000082666,0.0003724401,0.00004647799,0.00008233912,0.0005234401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001564546,"about_ca_system_score_gemma":0.00005832074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000530105,"about_ca_topic_score_gemma":0.0001051437,"domain_scores_codex":[0.9989998,0.00003360256,0.0003906096,0.0002699863,0.00009523724,0.0002107895],"domain_scores_gemma":[0.9994281,0.00002747356,0.0002172766,0.000167853,0.00007199268,0.00008733533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007788926,0.001035884,0.3229089,0.0006875283,0.0009126015,0.000003209541,0.02193088,0.02936064,0.04250759,0.136671,0.008681882,0.434521],"study_design_scores_gemma":[0.007018046,0.0001264129,0.04205989,0.00006969908,0.0001031969,0.000001739439,0.000118019,0.7059289,0.0178445,0.0366955,0.189293,0.0007410671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821951,0.0009416814,0.0002854215,0.001517128,0.0008415657,0.0008784097,0.0001386598,0.00002198373,0.01318003],"genre_scores_gemma":[0.9980797,0.00006907164,0.0001919334,0.001201876,0.0001672417,0.00009050822,0.00001734069,0.0000188627,0.0001634409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6765683,"threshold_uncertainty_score":0.6727939,"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."}}