{"id":"W3013308201","doi":"10.1017/cem.2020.17","title":"Outcome of applying the European Society of Cardiology (ESC) 0/1-hour algorithm in patients with suspected myocardial infarction","year":2020,"lang":"en","type":"letter","venue":"Canadian Journal of Emergency Medicine","topic":"Antiplatelet Therapy and Cardiovascular Diseases","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Medicine; Myocardial infarction; Cardiology; Internal medicine; Algorithm; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001157277,0.0002581644,0.0007957735,0.0004582317,0.001202903,0.001461127,0.0005046646,0.003893974,0.002641201],"category_scores_gemma":[0.01550847,0.0001871709,0.0007537737,0.0007784053,0.0004158498,0.0006688286,0.0003548339,0.00293042,0.0007879249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002282751,"about_ca_system_score_gemma":0.002278722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005931848,"about_ca_topic_score_gemma":0.0148873,"domain_scores_codex":[0.9985904,0.0004965485,0.0002025678,0.0001382473,0.0002689752,0.0003030802],"domain_scores_gemma":[0.9952361,0.002404556,0.0004721612,0.0001658427,0.0007474199,0.0009739083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007202161,0.00170631,0.7399893,0.0003037328,0.00040074,0.02848191,0.0006702331,0.002632684,0.0009967572,0.003616718,0.1164546,0.09754476],"study_design_scores_gemma":[0.001961971,0.003782218,0.887724,0.001455594,0.001302537,0.03093551,0.002889412,0.01477008,0.0007462997,0.01814034,0.03602951,0.0002625657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.641528,0.00712506,0.0008507775,0.2585113,0.007169904,0.000228646,0.001806464,0.00008129301,0.08269858],"genre_scores_gemma":[0.9298639,0.002094634,0.0011414,0.05388998,0.008412917,0.0001208867,0.001345363,0.00002989705,0.003101008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005931848,"threshold_uncertainty_score":0.01656264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04113515890071479,"score_gpt":0.2672050446787692,"score_spread":0.2260698857780544,"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."}}