{"id":"W4399556309","doi":"10.1016/j.jelectrocard.2024.05.025","title":"Saliency maps to enhance explainability of occlusion myocardial infarction classification among pre-hospital chest pain patients","year":2024,"lang":"en","type":"article","venue":"Journal of Electrocardiology","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"North York General Hospital; University of Toronto","funders":"","keywords":"Chest pain; Medicine; Myocardial infarction; Occlusion; Cardiology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002244338,0.0001609534,0.0003770169,0.0003454414,0.00008264621,0.00005354206,0.0005831108,0.0001654222,0.000002871639],"category_scores_gemma":[0.0005485257,0.0001456089,0.0002500288,0.0007147932,0.00007620059,0.0007263943,0.0001389241,0.0004134191,0.000005757609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006242599,"about_ca_system_score_gemma":0.0002860335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002248535,"about_ca_topic_score_gemma":0.000008308833,"domain_scores_codex":[0.9975685,0.0005633998,0.000721816,0.0003861758,0.0004548053,0.0003053413],"domain_scores_gemma":[0.998362,0.0002440823,0.000405963,0.000367536,0.0005148625,0.0001055689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000598594,0.0004565558,0.2097686,0.0002476211,0.000576345,0.00003828691,0.005372501,0.001942344,0.1081942,0.004214908,0.0100438,0.6585461],"study_design_scores_gemma":[0.0003252776,0.007556934,0.9487023,0.000141127,0.00005996981,0.00008966774,0.00007088569,0.005319369,0.02135737,0.008060501,0.007977185,0.0003393691],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.531945,0.0002237313,0.4650762,0.0006565306,0.001741957,0.0002023389,0.000001142274,0.00003816005,0.0001149548],"genre_scores_gemma":[0.9968427,0.0001056962,0.002448867,0.00008740228,0.0004727959,0.0000158427,0.000002294577,0.00001271266,0.00001165544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7389337,"threshold_uncertainty_score":0.5937758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00454872141782096,"score_gpt":0.2530194539473993,"score_spread":0.2484707325295784,"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."}}