{"id":"W2885498952","doi":"10.4172/2368-0512.1000106","title":"Electrocardiographic approach to classification of acute pericarditis in emergency department: Typical and atypical pericarditis","year":2018,"lang":"en","type":"article","venue":"Current research. Cardiology","topic":"Pericarditis and Cardiac Tamponade","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acute pericarditis; Pericarditis; Medicine; Internal medicine; ST segment; Cardiology; Emergency department; Electrocardiography; Chest pain; Myocardial infarction","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001323101,0.0002948572,0.001241939,0.0008398404,0.0001699057,0.00001965475,0.0002508171,0.0002600246,0.00003936597],"category_scores_gemma":[0.000284626,0.0002686606,0.0005485133,0.001795889,0.001065333,0.00008164729,0.000293096,0.0008300505,0.00005258607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001925678,"about_ca_system_score_gemma":0.0002064557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001196312,"about_ca_topic_score_gemma":0.000002222376,"domain_scores_codex":[0.9955139,0.001027144,0.0006250098,0.0009881735,0.0008162204,0.001029602],"domain_scores_gemma":[0.9979445,0.0001094098,0.00007705855,0.0007438203,0.0005918341,0.000533318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004656097,0.0005287045,0.8305323,0.0003427824,0.001272083,0.0001338474,0.0007173499,0.000006084203,0.02253971,0.005258753,0.0588722,0.0751401],"study_design_scores_gemma":[0.0008198185,0.001098423,0.9378611,0.00004125998,0.0001872024,0.0004333136,0.0001369141,0.00004605229,0.0001635231,0.0003037087,0.05868329,0.000225376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787694,0.004748299,0.003094557,0.0006275069,0.0006198738,0.001268816,0.0001482604,0.00006088308,0.01066242],"genre_scores_gemma":[0.9903793,0.007137384,0.0003745704,0.00003759546,0.001295084,0.0005171819,0.0001935242,0.00004003136,0.00002535021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1073288,"threshold_uncertainty_score":0.9999766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07408393992301214,"score_gpt":0.3991640878675863,"score_spread":0.3250801479445742,"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."}}