{"id":"W2183323395","doi":"10.1017/s1481803500007764","title":"Diagnostic testing: an emergency medicine perspective","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver General Hospital; Providence Health Care; McMaster University; Hamilton Health Sciences","funders":"","keywords":"Medicine; Diagnostic test; Test (biology); Perspective (graphical); Pre- and post-test probability; Emergency physician; Intensive care medicine; Emergency department; Medical physics; Emergency medicine; Artificial intelligence; Computer science; Internal medicine; Psychiatry","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":[0.006055484,0.001887683,0.002084423,0.005802301,0.003076785,0.007710543,0.002412622,0.02018719,0.01453151],"category_scores_gemma":[0.02238552,0.0009328622,0.001178308,0.001811515,0.007304292,0.008326465,0.002631343,0.01494362,0.002147476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008135883,"about_ca_system_score_gemma":0.006823654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00981826,"about_ca_topic_score_gemma":0.03023317,"domain_scores_codex":[0.9959576,0.001529878,0.000580079,0.0004248804,0.00103577,0.0004718148],"domain_scores_gemma":[0.9751815,0.01156477,0.001089901,0.0003809093,0.006492417,0.005290605],"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":[0.000461283,0.0005512759,0.01288997,0.003736989,0.0003530107,0.04572255,0.001220454,0.00245526,0.001508194,0.2609409,0.4514145,0.2187456],"study_design_scores_gemma":[0.0003232484,0.0007759631,0.01140063,0.01197681,0.0005938516,0.07970061,0.006110187,0.002700576,0.0007102658,0.1833072,0.7021227,0.0002780298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002359231,0.1788485,0.007659049,0.736497,0.02062444,0.00003677208,0.000142133,0.00006133208,0.05377156],"genre_scores_gemma":[0.1371092,0.3047566,0.009343478,0.3249103,0.2135397,0.00009597788,0.0001777949,0.00006212431,0.01000478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02018719,"threshold_uncertainty_score":0.05903023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3418326926746847,"score_gpt":0.407769488786375,"score_spread":0.06593679611169034,"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."}}