{"id":"W2888958178","doi":"10.1093/eurheartj/ehy566.4940","title":"4940Predicting risk at the point of care: NT-proBNP improves performance of the LACE index among patients hospitalized for Heart Failure (HF)","year":2018,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Cardiovascular Syncope and Autonomic Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Southlake Regional Health Center; St Joseph's Health Centre; HalTech; Institute for Clinical Evaluative Sciences; William Osler Health System; Population Health Research Institute; Trillium Health Centre; McMaster University","funders":"","keywords":"Medicine; Heart failure; Internal medicine; Index (typography); Cardiology; Point of care; Intensive care medicine; Pathology","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":[0.003336268,0.0005560396,0.0008164482,0.0002297318,0.0002837135,0.0006693658,0.0004291045,0.0004845603,0.001188917],"category_scores_gemma":[0.007464542,0.0002125132,0.0009945921,0.0001940347,0.0002846213,0.0004662914,0.0006001767,0.001012212,0.0001857094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004126317,"about_ca_system_score_gemma":0.0008726589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00116233,"about_ca_topic_score_gemma":0.001361132,"domain_scores_codex":[0.9986525,0.0007730972,0.00009142168,0.0002193527,0.00015467,0.0001089305],"domain_scores_gemma":[0.9973863,0.001244485,0.0004918918,0.0002303791,0.0001806973,0.0004662484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1529414,0.02344405,0.6474351,0.0004176275,0.002781953,0.0001132576,0.000387414,0.01353175,0.005744413,0.000231391,0.002053916,0.1509177],"study_design_scores_gemma":[0.01221768,0.0832219,0.8131788,0.0001296437,0.001673763,0.0001487445,0.0002050552,0.08339385,0.004347639,0.0007115431,0.000704514,0.00006687061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998764,0.00013939,0.0005746048,0.00009913959,0.00001615927,0.00008005724,0.00008661305,0.00002272582,0.0002171558],"genre_scores_gemma":[0.9988092,0.00003232367,0.0008911819,0.00005425016,0.00001177041,0.00004019567,0.0001105442,0.000001887713,0.0000485445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003336268,"threshold_uncertainty_score":0.01764405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006402629524260907,"score_gpt":0.2215618502720925,"score_spread":0.2151592207478316,"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."}}