{"id":"W2308309806","doi":"10.4172/2368-0512.1000057","title":"PREdiction of ST deviations in lead aVR as a noninvasive tool to predict the infarct-Related coronary artery in patients with acute Inferior-wall Myocardial Infarction (The PREST-RIMI Study)","year":2016,"lang":"en","type":"article","venue":"Current research. Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Myocardial infarction; Coronary artery disease; Right coronary artery; Electrocardiography; ST depression; ST elevation; Lead (geology); Gold standard (test); Artery; Coronary angiography; ST segment","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":[0.001320997,0.000574844,0.0003707835,0.00071115,0.0002033475,0.0006379508,0.0003979562,0.0005409686,0.0007922424],"category_scores_gemma":[0.003233181,0.0002536923,0.0003953899,0.0004793361,0.0002674211,0.0004526046,0.0004465869,0.0006890137,0.0002671181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001116071,"about_ca_system_score_gemma":0.0001483618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004584154,"about_ca_topic_score_gemma":0.001099892,"domain_scores_codex":[0.9996179,0.0001439646,0.00005397874,0.000062011,0.00008499275,0.00003710885],"domain_scores_gemma":[0.9983956,0.0005013707,0.000545536,0.00009895324,0.0001524532,0.0003060272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002002831,0.00003423932,0.9987821,0.000005428137,0.00003556196,0.00004520504,0.00001952824,0.00004054767,0.0001477629,0.000007348437,0.00003522248,0.0006467427],"study_design_scores_gemma":[0.00003646775,0.0004590772,0.9981008,0.000007958854,0.00005611249,0.0003657872,0.00005481766,0.0006887232,0.0000955811,0.00003376468,0.00009751423,0.000003375091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990022,0.0002332296,0.0001190605,0.00003725724,0.000009061716,0.00002004445,0.0001572181,0.000002681416,0.0004193691],"genre_scores_gemma":[0.9991758,0.0001021153,0.0001891879,0.00001899587,0.00002735802,0.00001589705,0.0003748351,0.000001356238,0.0000943206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001320997,"threshold_uncertainty_score":0.006986201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03682724875788124,"score_gpt":0.3233846958653217,"score_spread":0.2865574471074405,"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."}}