{"id":"W2018123025","doi":"10.1016/j.jval.2014.03.156","title":"Dissecting The Delays: The Impact Of New Policies And Practices On Total Time To Reimbursement In Ontario","year":2014,"lang":"en","type":"article","venue":"Value in Health","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Formulary; Reimbursement; Receipt; Notice; Business; Medicine; Actuarial science; Operations management; Accounting; Family medicine; Health care; Economics; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003358485,0.000182027,0.0004162337,0.001073942,0.002508443,0.002644656,0.001391731,0.001216647,0.004466688],"category_scores_gemma":[0.03226015,0.0003718422,0.000673695,0.003137322,0.001700751,0.001623578,0.001891522,0.00206181,0.00016661],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1046024,"about_ca_system_score_gemma":0.1176609,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9866638,"about_ca_topic_score_gemma":0.9932792,"domain_scores_codex":[0.9941016,0.0009300062,0.0003338578,0.0003306559,0.001808376,0.002495552],"domain_scores_gemma":[0.9714848,0.008767552,0.007444246,0.0005021791,0.005669371,0.006131785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001107704,0.0003013402,0.8691819,0.000340032,0.0002754323,0.0006987466,0.01794333,0.01373763,0.0005526603,0.02680555,0.02177691,0.04727871],"study_design_scores_gemma":[0.00009723075,0.0001506525,0.9513054,0.0001313614,0.0001216084,0.000118219,0.01716741,0.00734933,0.0002505567,0.00359378,0.01965276,0.00006168726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676983,0.001155498,0.0003709757,0.02058757,0.00005451609,0.00003953143,0.001847912,0.00001497833,0.008230653],"genre_scores_gemma":[0.9965833,0.0004072689,0.0001641094,0.0003780012,0.00002386272,0.00001048127,0.0002158703,0.000009850491,0.002207348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8953977,"threshold_uncertainty_score":0.7589468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1504000459159055,"score_gpt":0.3774960161626648,"score_spread":0.2270959702467592,"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."}}