{"id":"W2196929026","doi":"10.1016/j.cjca.2015.07.056","title":"IMPACT OF A MULTI-PRONGED INTERVENTION ON THE RATE OF INAPPROPRIATE CATHETERIZATION LABORATORY ACTIVATION USING AN AUTOMATED SYSTEM OF PRE-HOSPITAL STEMI DIAGNOSIS","year":2015,"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":"","funders":"","keywords":"Medicine; Myocardial infarction; Cardiac catheterization; Chest pain; Referral; Protocol (science); Medical emergency; Emergency medicine; Internal medicine; Cardiology; Pathology","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":[0.0009817739,0.00008953842,0.0004928432,0.0003241136,0.00002663759,0.000005502207,0.00008849091,0.00009923909,0.000001333806],"category_scores_gemma":[0.0004873523,0.00006077185,0.0002292913,0.0002559243,0.00007871968,0.00009365453,0.000005350895,0.0001242463,1.658224e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003830605,"about_ca_system_score_gemma":0.0007193915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00373219,"about_ca_topic_score_gemma":0.00007417352,"domain_scores_codex":[0.9986706,0.000523399,0.000506149,0.00008062019,0.000103122,0.0001161087],"domain_scores_gemma":[0.9977727,0.00005076078,0.0008193147,0.0001790047,0.0009892891,0.0001889157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004161474,0.00008153036,0.8687229,0.0002781669,0.001727642,0.00002562688,0.002642544,0.05646562,0.06804163,0.0000209874,0.0001030319,0.001474137],"study_design_scores_gemma":[0.003290468,0.006720182,0.8855895,0.002582962,0.001097371,0.00004784816,0.004978507,0.0356129,0.05986583,0.000009755518,0.00002124815,0.00018343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976076,0.00008059205,0.00185196,0.00003833536,0.0002265248,0.0001432622,0.00003313509,0.000006656002,0.00001192569],"genre_scores_gemma":[0.9996948,0.000005456862,0.0001081397,0.000002544843,0.0001626157,0.000003309589,0.000009206311,0.00001188391,0.000002043048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02085272,"threshold_uncertainty_score":0.564198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04216536222851901,"score_gpt":0.3196090250736081,"score_spread":0.2774436628450891,"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."}}