{"id":"W4387709855","doi":"10.1161/circoutcomes.123.010329","title":"Complex Picture of Prescription Drug Discount Programs and Out-of-Pocket Costs in Cardiovascular Disease","year":2023,"lang":"en","type":"letter","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Work & Health; Western University","funders":"","keywords":"Drug; Disease; Medical prescription; Prescription drug; Medicine; Intensive care medicine; Risk analysis (engineering); Business; Pharmacology; Internal medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002445186,0.0004066344,0.002342911,0.0004097974,0.00007152849,0.00008697763,0.0002222155,0.0004118318,0.00001995446],"category_scores_gemma":[0.0002283153,0.0004476306,0.001739373,0.0002243287,0.0002633574,0.0002115349,0.0001506436,0.0005708943,0.00001456225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001597396,"about_ca_system_score_gemma":0.00004045902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001269867,"about_ca_topic_score_gemma":0.00004457412,"domain_scores_codex":[0.996748,0.0002752612,0.001501036,0.000852678,0.0002319627,0.0003910459],"domain_scores_gemma":[0.9980702,0.000174298,0.0005139312,0.001030728,0.00006825259,0.000142612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006267636,0.0001739246,0.9250332,0.00664997,0.0141141,0.0000721771,0.002083319,0.004152185,0.000005005767,0.02120907,0.01021277,0.0162316],"study_design_scores_gemma":[0.00124755,0.0000093787,0.7189918,0.0001106179,0.0003842701,0.000001671385,0.00005556658,0.001312988,0.000001823044,0.01021205,0.2671091,0.0005632013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6542189,0.156058,0.004201861,0.1646891,0.004462485,0.006812378,0.006874559,0.0002793001,0.002403506],"genre_scores_gemma":[0.9730226,0.002909133,0.00008134633,0.02192681,0.0005263236,0.0001134248,0.001213032,0.0001008767,0.0001064871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3188037,"threshold_uncertainty_score":0.9997975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1554042076780597,"score_gpt":0.3223366822801893,"score_spread":0.1669324746021296,"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."}}