{"id":"W4404364208","doi":"10.1161/circ.150.suppl_1.4139307","title":"Abstract 4139307: Machine Learning Identifies Predictors of Poor Outcomes in Patients with Heart Failure Presenting to the Emergency Department for Chest Pain","year":2024,"lang":"en","type":"article","venue":"Circulation","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Emergency department; Heart failure; Chest pain; Emergency medicine; Intensive care medicine; Medical emergency; Internal medicine","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":[0.004861958,0.0004598156,0.0007607403,0.000973983,0.0003581111,0.0009584598,0.0005776112,0.0005908717,0.004206548],"category_scores_gemma":[0.01113456,0.0001358954,0.0007098865,0.0008809369,0.0002392211,0.0004865285,0.0006176397,0.0007311497,0.0007871328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003400247,"about_ca_system_score_gemma":0.0008976647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001530198,"about_ca_topic_score_gemma":0.002144668,"domain_scores_codex":[0.9985647,0.0006355842,0.0001835426,0.0002538842,0.0002293138,0.0001330201],"domain_scores_gemma":[0.9936779,0.003272011,0.001469392,0.0003795936,0.0008430793,0.0003579514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002504604,0.0006274471,0.9483747,0.0002761214,0.0004467264,0.0001050401,0.00007756879,0.001702568,0.000925733,0.00006252844,0.006273478,0.0386234],"study_design_scores_gemma":[0.0003800537,0.00170814,0.9750763,0.0002078572,0.0003491296,0.0003055355,0.0001053925,0.01864003,0.0007354413,0.0004366697,0.002029399,0.00002598209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861859,0.001395918,0.002623949,0.001263785,0.0001155301,0.0001940799,0.006370346,0.0001074342,0.001743067],"genre_scores_gemma":[0.9905283,0.0003037232,0.002890028,0.0002668739,0.0001790991,0.0001855045,0.005261107,0.00001470293,0.0003707079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004861958,"threshold_uncertainty_score":0.02571279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02153403608134616,"score_gpt":0.3072720546656171,"score_spread":0.2857380185842709,"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."}}