{"id":"W2028981610","doi":"10.1016/j.ahj.2010.08.011","title":"Appropriate Cardiac Cath Lab activation: Optimizing electrocardiogram interpretation and clinical decision-making for acute ST-elevation myocardial infarction","year":2010,"lang":"en","type":"review","venue":"American Heart Journal","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":164,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"TherOx; Boston Scientific Corporation; Medicines Company; Abbott Vascular; Medtronic; Eli Lilly and Company","keywords":"Medicine; Cath lab; Myocardial infarction; Cardiology; Internal medicine; Clinical decision making; Medical decision making; Electrocardiography; Intensive care medicine; 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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003137283,0.0006134335,0.003387144,0.001007185,0.00056534,0.0003878675,0.0002185989,0.0006013691,0.00002464735],"category_scores_gemma":[0.001567859,0.000521699,0.002347899,0.001068458,0.0004026636,0.0004440997,0.0001438805,0.003681202,0.00002416951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005669806,"about_ca_system_score_gemma":0.001452946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000250165,"about_ca_topic_score_gemma":7.705274e-7,"domain_scores_codex":[0.9948207,0.0008404639,0.001770451,0.0008399853,0.0009885386,0.0007398549],"domain_scores_gemma":[0.9943815,0.002214746,0.001309139,0.0005630338,0.001011442,0.0005200724],"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":[0.0005010034,0.00006066952,0.0003905257,0.0002947071,0.002635601,0.000007620213,0.00007035735,0.000006376413,0.00003563953,0.000004818088,0.003964876,0.9920278],"study_design_scores_gemma":[0.0007164608,0.001637523,0.0006397204,0.002785129,0.005252314,0.001410572,0.0001356679,0.0005277999,0.000004370419,0.00005859991,0.986334,0.0004978196],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003215852,0.8014881,0.1767899,0.002544638,0.005641888,0.009226972,0.0002628617,0.0002781973,0.0005515294],"genre_scores_gemma":[0.0009565708,0.937631,0.05544236,0.0008740171,0.004404509,0.0002719938,0.0002173338,0.0001665728,0.0000356633],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.99153,"threshold_uncertainty_score":0.9997234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04113427873635846,"score_gpt":0.443699531218549,"score_spread":0.4025652524821906,"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."}}