{"id":"W2756718981","doi":"10.1016/j.cjca.2017.07.166","title":"REDUCING DOOR TO DEVICE TIME: THE POTENTIAL IMPACT OF COMPUTERIZED DIAGNOSIS OF ST-ELEVATION MYOCARDIAL INFARCTION AND AUTOMATED ACTIVATION OF THE CARDIAC CATHETERIZATION LAB","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Manitoba","funders":"","keywords":"Medicine; Emergency department; Myocardial infarction; Cardiac catheterization; Conventional PCI; Gold standard (test); Emergency medicine; Medical emergency; Population; Cardiology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002745628,0.000548366,0.0005194437,0.0007175701,0.0003799208,0.002064026,0.001094004,0.001589884,0.008982521],"category_scores_gemma":[0.03833593,0.0002552319,0.001155542,0.0007497882,0.0004313995,0.001668103,0.000911164,0.001331969,0.0006133594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009205702,"about_ca_system_score_gemma":0.00285405,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006517937,"about_ca_topic_score_gemma":0.0106272,"domain_scores_codex":[0.9966143,0.00197597,0.0001915055,0.0002828614,0.0006475012,0.0002879045],"domain_scores_gemma":[0.971798,0.02128272,0.002888976,0.0009060912,0.001530395,0.001593858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01289842,0.009055274,0.2737628,0.001386294,0.001773965,0.0003988924,0.0003989286,0.007131391,0.002899438,0.004205426,0.01302928,0.6730599],"study_design_scores_gemma":[0.0026573,0.01270829,0.9159581,0.001207876,0.003723809,0.0009870642,0.0009936386,0.03188232,0.003207129,0.008544705,0.01799244,0.0001372757],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8996515,0.01758412,0.0101373,0.03904112,0.001481771,0.0002372358,0.001350273,0.0004546192,0.03006215],"genre_scores_gemma":[0.9874012,0.002358732,0.005397151,0.002658497,0.0008131773,0.00005320232,0.0002339231,0.00004239257,0.001041692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9934821,"threshold_uncertainty_score":0.0300495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276084220888645,"score_gpt":0.277921893002153,"score_spread":0.2651610507932666,"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."}}