{"id":"W3022535777","doi":"10.1002/9781118445112.stat05244","title":"Diagnostic Tests, Likelihood Ratio","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Juravinski Hospital","funders":"","keywords":"Bayes' theorem; Diagnostic test; Test (biology); Pre- and post-test probability; Diagnostic odds ratio; Likelihood ratios in diagnostic testing; Statistics; Sensitivity (control systems); Likelihood-ratio test; Computer science; Value (mathematics); Mathematics; Medicine; Bayesian probability; Receiver operating characteristic; Engineering","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":[0.01903363,0.001986494,0.001932435,0.005922596,0.0004832139,0.004230079,0.002617836,0.002574308,0.01812865],"category_scores_gemma":[0.2043307,0.0006291224,0.0009861111,0.005741009,0.003726337,0.0034055,0.002080353,0.004526401,0.006868011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002255854,"about_ca_system_score_gemma":0.003047467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001565992,"about_ca_topic_score_gemma":0.0007303645,"domain_scores_codex":[0.9667625,0.02634484,0.001167973,0.001876086,0.003568649,0.0002799443],"domain_scores_gemma":[0.8754801,0.1100942,0.00549809,0.004385531,0.003761104,0.0007810334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003067142,0.0001023912,0.00472597,0.002767737,0.0004067257,0.0005204515,0.0002709889,0.0114848,0.0002474147,0.5008099,0.104599,0.3737579],"study_design_scores_gemma":[0.00009343058,0.0001128346,0.001194059,0.0009749152,0.0001075411,0.0009657218,0.0001382458,0.02174636,0.0003182866,0.8944992,0.07979382,0.00005558505],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003714351,0.1069491,0.8156588,0.02714068,0.005426667,0.0005705122,0.003949481,0.001732704,0.03485772],"genre_scores_gemma":[0.2451432,0.08225722,0.6120778,0.009964027,0.01669257,0.004366124,0.003649938,0.001565332,0.02428379],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01903363,"threshold_uncertainty_score":0.1006606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3354816517440802,"score_gpt":0.5105895782106822,"score_spread":0.1751079264666019,"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."}}