{"id":"W2048193904","doi":"10.1016/j.cjca.2014.07.143","title":"DIAGNOSTIC ACCURACY OF ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION BY VARIOUS HEALTHCARE PROVIDERS","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Regional Economic Development and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Myocardial infarction; Culprit; Medical diagnosis; Chest pain; Emergency department; Internal medicine; Cardiology; Conventional PCI; Academic institution; ST segment; Cardiac catheterization; Coronary angiography; Emergency medicine; Medical emergency; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006700961,0.0001057595,0.0003073534,0.0004378324,0.00009190335,0.00005632698,0.0001506052,0.00009146158,0.00002039651],"category_scores_gemma":[0.001060316,0.0001043562,0.0000912321,0.0001924363,0.00006684596,0.0006515995,0.00001248149,0.0001387762,0.00001517391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001621552,"about_ca_system_score_gemma":0.0004312776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002869128,"about_ca_topic_score_gemma":0.0006176247,"domain_scores_codex":[0.9989932,0.00003422695,0.0005306057,0.0001145772,0.0001106055,0.0002167483],"domain_scores_gemma":[0.9985633,0.0001433601,0.0006779504,0.00009542493,0.0004753628,0.00004455231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004502764,0.000004459028,0.4113772,0.0001174776,0.0002406769,0.000005221539,0.00007922975,0.003007957,0.0003150652,0.02421627,0.5098916,0.0506998],"study_design_scores_gemma":[0.0005242626,0.00005190559,0.1844552,0.00003676545,0.00003658981,0.00001732799,0.00007502511,0.0001315095,0.0000117586,0.003804081,0.8107303,0.0001252212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.89349,0.0004761948,0.03657917,0.04487257,0.007063937,0.0007991781,0.00002466701,0.00002711208,0.01666715],"genre_scores_gemma":[0.995949,0.00003163752,0.00005131414,0.001899674,0.001947988,0.000005840123,0.00007179801,0.00001175638,0.00003095572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3008387,"threshold_uncertainty_score":0.4337282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262027196619654,"score_gpt":0.2059426706394323,"score_spread":0.1933223986732358,"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."}}