{"id":"W4411713439","doi":"10.55041/ijsrem51058","title":"CardioNet.AI - Heart Disease Predictor Model","year":2025,"lang":"en","type":"article","venue":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Cardiology; Disease; Internal medicine; Medicine; Artificial intelligence; Computer science","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":[0.0005206118,0.00102482,0.0004937685,0.0009145893,0.0003058568,0.0008347287,0.001633689,0.0007772956,0.01152546],"category_scores_gemma":[0.002119179,0.0003087272,0.0006775312,0.000781794,0.000175119,0.0006810091,0.0007049826,0.001508478,0.005538717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007485935,"about_ca_system_score_gemma":0.001448399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01660451,"about_ca_topic_score_gemma":0.01989527,"domain_scores_codex":[0.9998392,0.00002511859,0.00001321085,0.00007053617,0.00003186161,0.00002011045],"domain_scores_gemma":[0.9997161,0.0001189529,0.00002000086,0.00003145295,0.00008924807,0.00002420901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001246068,0.0006214742,0.03934027,0.0006682131,0.0004762532,0.0004569668,0.0001108585,0.2852087,0.002255021,0.009957965,0.3721109,0.2875473],"study_design_scores_gemma":[0.0001128688,0.00009383486,0.003157316,0.00005046543,0.00006474429,0.0001198777,0.00002312464,0.9593606,0.001147832,0.006451459,0.02939031,0.00002751769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1419476,0.004564,0.3902241,0.008683832,0.002879744,0.001412307,0.3516603,0.06037844,0.03824962],"genre_scores_gemma":[0.546762,0.002621711,0.1414028,0.002714643,0.0007249216,0.002187014,0.2747986,0.0008409234,0.02794741],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01660451,"threshold_uncertainty_score":0.03855646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1558939377960435,"score_gpt":0.5085537581160609,"score_spread":0.3526598203200173,"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."}}