{"id":"W2885221585","doi":"","title":"Abstract 378: Using Lean Methodology to Reduce Variation in Care of Acute Coronary Syndrome Patients","year":2015,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Revascularization; Acute coronary syndrome; Medicine; Myocardial revascularization; Health care; Variation (astronomy); Emergency medicine; Cardiology; Intensive care medicine; Internal medicine; Medical emergency; Coronary artery disease; Myocardial infarction","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":[0.026156,0.0008442381,0.0007530603,0.002732925,0.001052576,0.002450255,0.001332522,0.0004877858,0.002729287],"category_scores_gemma":[0.04560234,0.0003193814,0.0008033028,0.002669914,0.000881675,0.00109167,0.002914885,0.001048084,0.0003042177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003228422,"about_ca_system_score_gemma":0.007502009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004366159,"about_ca_topic_score_gemma":0.00510688,"domain_scores_codex":[0.9871012,0.00904275,0.0005595218,0.0007732642,0.002128596,0.0003947007],"domain_scores_gemma":[0.9633795,0.02252555,0.004953377,0.002065461,0.006214513,0.0008615592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009228907,0.001919002,0.11778,0.001404466,0.001008862,0.0004662907,0.005644607,0.0858486,0.003985483,0.01651431,0.008595895,0.7559096],"study_design_scores_gemma":[0.001082274,0.005224924,0.1497602,0.001851684,0.001017424,0.0005749607,0.0137668,0.6302841,0.01484145,0.1530851,0.02829179,0.0002193093],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3087327,0.0005269778,0.6759506,0.003557415,0.0001854249,0.001663504,0.000842249,0.0008155661,0.007725607],"genre_scores_gemma":[0.6470706,0.0002225715,0.3494917,0.0004943762,0.0000578136,0.0009266802,0.0008197233,0.00007292519,0.0008436557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.026156,"threshold_uncertainty_score":0.1383278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1522327321797944,"score_gpt":0.3423384050157415,"score_spread":0.1901056728359471,"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."}}