{"id":"W2975329953","doi":"10.1161/circulationaha.119.040580","title":"Evolution of Medicare Formulary Coverage Changes for Antithrombotic Therapies After Guideline Updates","year":2019,"lang":"en","type":"letter","venue":"Circulation","topic":"Antiplatelet Therapy and Cardiovascular Diseases","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"","keywords":"Formulary; Medicine; Veterans Affairs; Haven; Center of excellence; Family medicine; Guideline; Health care; Antithrombotic; Medicaid; Gerontology; Law; Internal medicine; Political science","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":[0.005209118,0.0004207373,0.0007510225,0.004693066,0.0007316135,0.003072536,0.001106455,0.001685751,0.004198656],"category_scores_gemma":[0.06841446,0.0003779603,0.001570099,0.008611471,0.0004663257,0.002487035,0.001459043,0.00215198,0.0008354131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006825976,"about_ca_system_score_gemma":0.004298688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05358389,"about_ca_topic_score_gemma":0.04866184,"domain_scores_codex":[0.9876477,0.002313078,0.001988433,0.001572354,0.004837274,0.001641173],"domain_scores_gemma":[0.9462903,0.01281464,0.02555326,0.001342597,0.01123264,0.002766612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008652149,0.0003595609,0.837807,0.000384043,0.0007341208,0.0002472494,0.001164907,0.001838868,0.000515821,0.003163314,0.04575729,0.1071627],"study_design_scores_gemma":[0.0001076524,0.0002822465,0.958654,0.0003970661,0.0001949793,0.0002749478,0.0006407423,0.002679738,0.000437784,0.0003792428,0.03591221,0.00003939725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8896329,0.0112016,0.001685382,0.01917233,0.0005615203,0.0004369018,0.05311375,0.0004233225,0.02377226],"genre_scores_gemma":[0.9336984,0.003350927,0.004012406,0.01095428,0.0006895149,0.0005282466,0.04174979,0.0001692138,0.004847276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05358389,"threshold_uncertainty_score":0.106544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366296164193476,"score_gpt":0.254375996041005,"score_spread":0.2407130343990703,"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."}}