{"id":"W2316805009","doi":"10.1097/tme.0b013e31823df79a","title":"Body Surface Mapping Improves Diagnosis of Acute Myocardial Infarction in the Emergency Department","year":2012,"lang":"en","type":"review","venue":"Advanced Emergency Nursing Journal","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Foundation","funders":"","keywords":"Medicine; Torso; Emergency department; Ventricle; Myocardial infarction; Body surface; Cardiology; Lead (geology); Internal medicine; Electrocardiography; Heart failure; Medical emergency","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009232204,0.0005190502,0.00171557,0.0004327842,0.0002640017,0.00001504927,0.000325641,0.0002501018,0.0001616508],"category_scores_gemma":[0.0000839324,0.0003575485,0.00175174,0.001178337,0.00005311111,0.0002678041,0.00002808492,0.001206421,0.00001437077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004182834,"about_ca_system_score_gemma":0.0001642976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000159793,"about_ca_topic_score_gemma":0.000001721163,"domain_scores_codex":[0.9960984,0.0003835018,0.001805213,0.0003582068,0.0006895417,0.0006651233],"domain_scores_gemma":[0.9978275,0.00006922323,0.001189591,0.0005045919,0.0002005171,0.0002085189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002519398,0.0004504117,0.005059317,0.001717768,0.001852143,0.00002279665,0.0006492664,0.00002563386,0.0001035966,0.000005944749,0.0006891081,0.9893988],"study_design_scores_gemma":[0.0009859258,0.0005628301,0.008588261,0.0353356,0.02917829,0.0009097878,0.0009094756,0.00003694747,0.0000454243,0.0003084367,0.9221364,0.001002664],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004439685,0.9879804,0.0003036319,0.0002027741,0.006149228,0.0005521883,0.00001977102,0.00002334601,0.0003289531],"genre_scores_gemma":[0.005142532,0.9915957,0.001128285,0.000006631414,0.001749566,0.00006905323,0.00006693435,0.00006775756,0.0001734957],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9883962,"threshold_uncertainty_score":0.9998876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04207947442562814,"score_gpt":0.3758811730418427,"score_spread":0.3338016986162146,"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."}}