{"id":"W4392209953","doi":"10.1109/iccit60459.2023.10441358","title":"Coronary Heart Disease Prediction On Small Datasets: A Comparative Analysis","year":2023,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Cardiology; Internal medicine; Medicine","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":[0.005236864,0.0008835605,0.001232309,0.003321116,0.0004865841,0.001454914,0.001414098,0.001376917,0.001564471],"category_scores_gemma":[0.01575415,0.0002146424,0.001386068,0.003111674,0.0003969417,0.001589264,0.001025425,0.0008451669,0.0006688269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009181131,"about_ca_system_score_gemma":0.0007049019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0107813,"about_ca_topic_score_gemma":0.01283367,"domain_scores_codex":[0.997153,0.0008748687,0.0003277286,0.00067497,0.0008090294,0.0001603831],"domain_scores_gemma":[0.9859142,0.009875312,0.0005533088,0.001545598,0.001741385,0.0003700109],"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":[0.007666973,0.002728184,0.4117531,0.003100399,0.005271361,0.001371392,0.0004352644,0.08409429,0.003453343,0.002362159,0.08868041,0.389083],"study_design_scores_gemma":[0.0006141972,0.002925304,0.5349517,0.0007436519,0.001731886,0.002703159,0.001732285,0.398783,0.00618512,0.00491347,0.0444714,0.0002449175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8986832,0.0181697,0.01099088,0.002551013,0.000937097,0.000354025,0.05952789,0.001615546,0.007170545],"genre_scores_gemma":[0.8601892,0.003307585,0.01244074,0.0003214051,0.0003370248,0.0001927295,0.1219012,0.0001181202,0.001191806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0107813,"threshold_uncertainty_score":0.02769554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3783455982196718,"score_gpt":0.536371327162202,"score_spread":0.1580257289425303,"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."}}