{"id":"W1970031056","doi":"10.1016/j.annemergmed.2008.01.126","title":"157: Stemi Treatment Delays in an Academic Canadian Emergency Department","year":2008,"lang":"en","type":"article","venue":"Annals of Emergency Medicine","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Medicine; Emergency department; Medical emergency; Emergency medicine; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005104605,0.0007603061,0.000652171,0.001237564,0.01326696,0.002375074,0.002891091,0.003525726,0.01642037],"category_scores_gemma":[0.003714375,0.0008236584,0.0004581506,0.001949228,0.001361324,0.0007565417,0.001791782,0.004809896,0.0009146185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0509149,"about_ca_system_score_gemma":0.05414179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9234571,"about_ca_topic_score_gemma":0.9721728,"domain_scores_codex":[0.997921,0.00009325004,0.00009161638,0.0001604399,0.0002964865,0.001437248],"domain_scores_gemma":[0.9953983,0.0002943075,0.0005360798,0.00003460972,0.0009670008,0.002769697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001854687,0.003590113,0.7447003,0.000525622,0.0001979886,0.1277052,0.01905626,0.001699484,0.002657997,0.002306869,0.05653903,0.03916651],"study_design_scores_gemma":[0.000270868,0.001061441,0.8515638,0.0005184273,0.0001667624,0.02119823,0.0963225,0.002632939,0.0007979657,0.0007380265,0.02442076,0.0003083232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970711,0.0006978794,0.0001607819,0.01155938,0.0002821964,0.0002986495,0.001097777,0.00004106964,0.01515124],"genre_scores_gemma":[0.9909247,0.0005577606,0.0002579609,0.003489344,0.0001769001,0.00004564976,0.0004049346,0.00002179641,0.00412092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9234571,"threshold_uncertainty_score":0.3694152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2083381249227556,"score_gpt":0.3681833945056696,"score_spread":0.159845269582914,"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."}}