{"id":"W2944811924","doi":"10.2196/13814","title":"Automated Fast Healthcare Interoperability Resources-based 12-Lead Electrocardiogram Mobile Alert System for Myocardial Infarction in an Emergency Department: A Retrospective Study (Preprint)","year":2019,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Interoperability; Preprint; Medical emergency; Emergency department; Health care; Myocardial infarction; Medicine; Emergency medicine; Computer science; Cardiology; World Wide Web; Nursing","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":[0.001073746,0.000531019,0.000642349,0.001409518,0.0008369983,0.001174576,0.0004530915,0.0009001743,0.001655862],"category_scores_gemma":[0.003862402,0.0006269293,0.001053568,0.001303601,0.0005135774,0.001033291,0.0006503097,0.0009612889,0.0005324579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008089284,"about_ca_system_score_gemma":0.0009560666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006601598,"about_ca_topic_score_gemma":0.005806794,"domain_scores_codex":[0.9986699,0.0002535545,0.0002001722,0.0004272102,0.000240359,0.0002088995],"domain_scores_gemma":[0.9980109,0.0004375815,0.0004750838,0.0002290084,0.0006371454,0.0002103584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004059729,0.0004219697,0.9952776,0.00003278436,0.0001328393,0.0007295103,0.000520115,0.00004246979,0.0003574796,0.00002917166,0.0001448097,0.001905136],"study_design_scores_gemma":[0.00006629868,0.00174171,0.9910163,0.00002901229,0.0004116388,0.001918398,0.002881817,0.0007439596,0.0005094116,0.00006856154,0.0005815661,0.00003123978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990129,0.0000850935,0.0002758568,0.0000243546,0.000007172294,0.0000561808,0.0002444839,0.000004199924,0.000289751],"genre_scores_gemma":[0.9987385,0.00009077828,0.0002641956,0.00008265536,0.00002408739,0.00004640721,0.0005477036,0.00000590168,0.0001998749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006601598,"threshold_uncertainty_score":0.01312637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04569615094726795,"score_gpt":0.4185854921664631,"score_spread":0.3728893412191951,"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."}}