{"id":"W4386499055","doi":"10.1117/12.2692214","title":"Heart disease prediction using machine learning models","year":2023,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Machine learning; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006912149,0.0001105447,0.0001486969,0.0001557765,0.00144772,0.000007807785,0.00008905111,0.0001205843,0.000880805],"category_scores_gemma":[0.0003581095,0.0001005586,0.00004857099,0.0004778944,0.000032966,0.0002334604,0.0001241482,0.0006528193,0.002146987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001650752,"about_ca_system_score_gemma":0.000270179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005162651,"about_ca_topic_score_gemma":0.0005716328,"domain_scores_codex":[0.9979703,0.0004611033,0.0004735297,0.0002739918,0.0002626498,0.0005583783],"domain_scores_gemma":[0.9988692,0.0003666772,0.00007712909,0.0002337887,0.0001559751,0.0002972571],"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":[0.00008043247,0.00002104278,0.8615026,0.0002412669,0.000006756257,0.00001115432,0.002613156,0.1242297,0.0004965054,0.005801899,0.004405619,0.0005897763],"study_design_scores_gemma":[0.00004792126,0.00002159825,0.005136296,0.0001139263,0.000008244751,3.680887e-7,0.00234925,0.9778345,0.00002693395,0.01004055,0.004332948,0.00008742116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787947,0.0001437288,0.007512441,0.005642865,0.001491162,0.00100182,0.00006111313,0.001871059,0.003481102],"genre_scores_gemma":[0.9908817,0.00004191909,0.0004308298,0.001168994,0.0004369519,0.00007778985,0.0000712114,0.00004057195,0.00684997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8563663,"threshold_uncertainty_score":0.9998522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4458009128790462,"score_gpt":0.5205755946972299,"score_spread":0.07477468181818375,"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."}}