{"id":"W2122047971","doi":"10.1016/j.cpem.2011.04.003","title":"Ensuring Diagnostic Accuracy in Pediatric Emergency Medicine","year":2011,"lang":"en","type":"article","venue":"Clinical Pediatric Emergency Medicine","topic":"Appendicitis Diagnosis and Management","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Medicine; Emergency department; Pediatric emergency medicine; Clinical Practice; Quality management; Appendicitis; Medical emergency; Patient care; Intensive care medicine; Emergency medicine; Emergency physician; Family medicine; General surgery; Nursing; Management system; Operations management","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":[0.1427655,0.0004906087,0.001319259,0.005554374,0.003397111,0.006588361,0.003333213,0.004734092,0.002956783],"category_scores_gemma":[0.550609,0.001443572,0.0006696758,0.002027086,0.003877296,0.007864751,0.006295654,0.005462349,0.002124691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002939935,"about_ca_system_score_gemma":0.01444739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003867546,"about_ca_topic_score_gemma":0.003436332,"domain_scores_codex":[0.8214918,0.1014474,0.02849545,0.005267971,0.03662844,0.00666899],"domain_scores_gemma":[0.3148065,0.5036131,0.03501571,0.03448502,0.101601,0.0104788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005040141,0.0003583128,0.6166134,0.001313273,0.0001453536,0.002663655,0.005935381,0.002488373,0.003095111,0.00901484,0.03822656,0.3196418],"study_design_scores_gemma":[0.0004955456,0.00199339,0.624772,0.008652125,0.0007374889,0.02793135,0.01565367,0.0578594,0.04095848,0.06281626,0.1577024,0.0004279712],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4103169,0.02547917,0.1966692,0.2881436,0.005516606,0.002543009,0.0009695829,0.00234001,0.06802196],"genre_scores_gemma":[0.8841476,0.003418152,0.0986703,0.009277661,0.00267138,0.0005718257,0.0003156184,0.000130651,0.0007968069],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1427655,"threshold_uncertainty_score":0.7550253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1803368002733056,"score_gpt":0.4187474855505334,"score_spread":0.2384106852772278,"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."}}