{"id":"W4362719457","doi":"10.14740/cr1468","title":"Chest Pain in Acute Myocardial Infarction and Its Association With the Culprit Artery and Fibrotic Segment Identified by Cardiac Magnetic Resonance","year":2023,"lang":"en","type":"article","venue":"Cardiology Research","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Culprit; Cardiology; Internal medicine; Myocardial infarction; Chest pain; Cardiac magnetic resonance; Magnetic resonance imaging; Cardiac magnetic resonance imaging; Electrocardiography in myocardial infarction; ST segment; Radiology","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":[0.0004826891,0.0001759323,0.0002490909,0.0007714215,0.0002056573,0.0003275693,0.0001937594,0.0003306993,0.002589938],"category_scores_gemma":[0.002170569,0.0001008276,0.0001662779,0.0006979104,0.0002521526,0.0001882962,0.0002477544,0.0002948621,0.0002040461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009293902,"about_ca_system_score_gemma":0.0001351649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004409281,"about_ca_topic_score_gemma":0.0005479136,"domain_scores_codex":[0.9996898,0.0001032628,0.00004431157,0.00004499238,0.00006754318,0.00005009928],"domain_scores_gemma":[0.9982603,0.0004853784,0.0008832897,0.00004462393,0.00009102516,0.0002353976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001346307,0.00002858034,0.998601,0.00001604636,0.00001812033,0.0001544499,0.00002248188,0.000008658219,0.0002283345,0.000008232346,0.00002795315,0.0007514457],"study_design_scores_gemma":[0.000006284826,0.00009481549,0.9989418,0.000005500528,0.00001557043,0.0007766263,0.00004727792,0.0000325545,0.0000305131,0.0000134775,0.00003448229,9.571829e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990969,0.0004686458,0.00004167278,0.00002906539,0.000003716646,0.000005743512,0.00007785783,8.379118e-7,0.0002755949],"genre_scores_gemma":[0.9996229,0.0001584164,0.00004403824,0.000009290504,0.00002519976,0.00000478627,0.0000991126,3.551087e-7,0.00003586605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002589938,"threshold_uncertainty_score":0.008664191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02128644222972447,"score_gpt":0.3067319717441707,"score_spread":0.2854455295144462,"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."}}