{"id":"W2325293044","doi":"10.1016/j.cjca.2012.07.569","title":"632 Auto-Entrainment Risk Assessment in Heart Failure","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Medicine; Entrainment (biomusicology); Heart failure; Cardiology; Internal medicine; Risk assessment; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000551386,0.000321821,0.0005468143,0.00057667,0.0003265008,0.0007852569,0.0002290446,0.000453779,0.001689292],"category_scores_gemma":[0.00187666,0.00009919953,0.0003024447,0.0003387356,0.0001236903,0.0002771999,0.0003828433,0.0005103131,0.0002319295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003960725,"about_ca_system_score_gemma":0.000523926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00635259,"about_ca_topic_score_gemma":0.01292568,"domain_scores_codex":[0.9997378,0.00006548566,0.00003731509,0.00002177766,0.00009893208,0.0000387482],"domain_scores_gemma":[0.9990761,0.0002624557,0.0001934854,0.00002259074,0.0001711791,0.0002741511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008977,0.0002122292,0.9600559,0.00006954989,0.0001538135,0.0006634447,0.0001039546,0.0004138743,0.0006599024,0.0001210927,0.0006545763,0.03599396],"study_design_scores_gemma":[0.00002495048,0.000330785,0.99655,0.00004354974,0.00007814396,0.0006031395,0.0001056601,0.001401497,0.0001577161,0.0001472286,0.0005459437,0.0000114614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864356,0.002788654,0.0009272255,0.0004428634,0.000099953,0.00004802924,0.0003005142,0.00002525572,0.008931854],"genre_scores_gemma":[0.9978853,0.000492577,0.0004910021,0.0000739932,0.0001035268,0.00001565787,0.0001785504,0.00000354382,0.0007558986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00635259,"threshold_uncertainty_score":0.01263124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393248580398808,"score_gpt":0.2692535009411128,"score_spread":0.2553210151371247,"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."}}