{"id":"W2958091182","doi":"10.18280/rces.050301","title":"Classification of heart disease using multiple classifiers","year":2019,"lang":"en","type":"article","venue":"Review of Computer Engineering Studies","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science; Pattern recognition (psychology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003056394,0.001033129,0.001929532,0.00409008,0.0007291874,0.001602228,0.001103544,0.001096305,0.001293451],"category_scores_gemma":[0.005848621,0.0003343095,0.001356506,0.002240503,0.0001804678,0.001544084,0.0009589102,0.0009847099,0.001464722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005283225,"about_ca_system_score_gemma":0.0007047675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002522128,"about_ca_topic_score_gemma":0.002435984,"domain_scores_codex":[0.9969915,0.0005201049,0.0004104426,0.0007879201,0.001049423,0.0002405795],"domain_scores_gemma":[0.9972584,0.000761533,0.0002964177,0.0002487634,0.001333753,0.0001011603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004870916,0.0004393411,0.04495987,0.0002988273,0.0006898695,0.0002913123,0.0001293031,0.01400052,0.01054792,0.0007019232,0.006674005,0.9207801],"study_design_scores_gemma":[0.00007517305,0.0009714584,0.06632969,0.0004079516,0.001259345,0.001767568,0.000413546,0.8809617,0.02668891,0.00546564,0.01549702,0.0001619459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2641849,0.01273094,0.6994553,0.001413429,0.00168693,0.0007187765,0.002461205,0.005608249,0.01174035],"genre_scores_gemma":[0.7512596,0.003345641,0.2366526,0.000393868,0.000756738,0.0002614908,0.002256654,0.00008586544,0.004987514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00409008,"threshold_uncertainty_score":0.01616395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2172897342864206,"score_gpt":0.4831938412163425,"score_spread":0.2659041069299218,"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."}}