{"id":"W2934705672","doi":"10.1002/9781119350927.ch6","title":"Diagnostic Tests, Test Performance, and Considerations for Interpretation","year":2019,"lang":"en","type":"other","venue":"","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Sample (material); Test (biology); Diagnostic test; Variety (cybernetics); Interpretation (philosophy); Selection (genetic algorithm); Computer science; Medical physics; Medicine; Biology; Artificial intelligence; Veterinary medicine; Ecology","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":[0.01570179,0.001107368,0.00125672,0.004989565,0.0009372396,0.006287676,0.001860242,0.003069854,0.012161],"category_scores_gemma":[0.05824116,0.0005574184,0.0006361333,0.002007718,0.002344938,0.002523305,0.001052514,0.003297424,0.009310522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00198088,"about_ca_system_score_gemma":0.003032691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002998982,"about_ca_topic_score_gemma":0.005680496,"domain_scores_codex":[0.9867728,0.005786483,0.002207282,0.0006013482,0.004252364,0.0003796955],"domain_scores_gemma":[0.9562793,0.02944983,0.003074328,0.001913874,0.007979603,0.0013032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004814104,0.0002585642,0.02319401,0.001074557,0.00005022237,0.003193944,0.0002441641,0.001090794,0.001431392,0.01779227,0.1535102,0.7976786],"study_design_scores_gemma":[0.000226883,0.0007327247,0.04379528,0.009474073,0.0002772237,0.05228897,0.00157965,0.01348386,0.009315355,0.10014,0.7683898,0.0002962335],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01938596,0.2028346,0.1338903,0.2121409,0.009565389,0.0008463794,0.002235777,0.003922596,0.4151781],"genre_scores_gemma":[0.2861276,0.1279256,0.4047363,0.04484461,0.04225263,0.001267689,0.002826243,0.002289802,0.08772956],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01570179,"threshold_uncertainty_score":0.08304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389785016203692,"score_gpt":0.2731039293833041,"score_spread":0.2592060792212672,"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."}}