{"id":"W2413142539","doi":"10.1161/circoutcomes.4.suppl_2.ap43","title":"Abstract P43: Frequency and Predictors of Low-Density Lipoprotein Cholesterol Control and Appropriate Response to Elevated LDL-C Levels in Patients with Cardiovascular Disease","year":2011,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Christie (Canada)","funders":"","keywords":"Medicine; Logistic regression; Veterans Affairs; Diabetes mellitus; Internal medicine; Medical prescription; Pharmacy; Ldl cholesterol; Cholesterol; Disease; Endocrinology; Pharmacology","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":[0.001538482,0.0002842606,0.0003421466,0.0006868463,0.0004717235,0.0007929561,0.0005401344,0.000759672,0.002950518],"category_scores_gemma":[0.006240632,0.0003226954,0.0005814898,0.001136055,0.0003488907,0.0004483468,0.0005132919,0.001260521,0.0004014497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003329383,"about_ca_system_score_gemma":0.0004607539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005188187,"about_ca_topic_score_gemma":0.003736631,"domain_scores_codex":[0.9988981,0.0004294099,0.0001348424,0.0002267798,0.0001703859,0.0001404567],"domain_scores_gemma":[0.9941537,0.001589176,0.002822498,0.0003145578,0.0003491823,0.000771001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003581517,0.00001509146,0.9995545,0.000002381904,0.00001743855,0.00001294734,0.00001009087,0.0000201905,0.00001726229,0.000004346812,0.0000587824,0.0002511301],"study_design_scores_gemma":[0.000006597611,0.00004662872,0.9993103,0.000003822897,0.00001381333,0.0001140932,0.00004779617,0.0003543305,0.00001705021,0.00001922738,0.00006436304,0.000002133189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989191,0.0001532638,0.00008133664,0.0001291567,0.000007837595,0.000006268515,0.0004210203,0.000003617863,0.0002783197],"genre_scores_gemma":[0.999469,0.00003297269,0.00009013119,0.00002705883,0.00001741128,0.00000608228,0.0002984198,0.000001963737,0.00005706077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005188187,"threshold_uncertainty_score":0.01031601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07760721121944188,"score_gpt":0.3072731592393499,"score_spread":0.229665948019908,"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."}}