{"id":"W2169607526","doi":"10.1177/104063871102300102","title":"Selection of a Cutoff Value for Real-Time Polymerase Chain Reaction Results to Fit a Diagnostic Purpose: Analytical and Epidemiologic Approaches","year":2011,"lang":"en","type":"review","venue":"Journal of Veterinary Diagnostic Investigation","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":249,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Prince Edward Island","funders":"","keywords":"Cutoff; Receiver operating characteristic; Population; Statistics; Normalization (sociology); Selection (genetic algorithm); Diagnostic test; Medicine; Computer science; Mathematics; Artificial intelligence; Veterinary medicine; Physics","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":[0.03957574,0.002687888,0.002173625,0.008362641,0.000914429,0.004768271,0.002760553,0.002756268,0.001372166],"category_scores_gemma":[0.07794378,0.0008394408,0.001511927,0.005172128,0.002830253,0.003051271,0.001768349,0.002875943,0.001042973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0025514,"about_ca_system_score_gemma":0.003912006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001992604,"about_ca_topic_score_gemma":0.002174324,"domain_scores_codex":[0.9647535,0.01773304,0.005871195,0.003990453,0.007100303,0.0005513823],"domain_scores_gemma":[0.9571811,0.02433945,0.005947189,0.001820735,0.0101854,0.0005260645],"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":[0.0009014197,0.0005502187,0.1385264,0.01059622,0.0009156787,0.001117173,0.0010735,0.004895919,0.007241781,0.02517914,0.009625722,0.7993768],"study_design_scores_gemma":[0.0006785335,0.00482428,0.2137651,0.04231612,0.007774505,0.0253965,0.009127356,0.1007392,0.06513368,0.1792586,0.3494786,0.001507437],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.04349137,0.3253259,0.5961344,0.01288952,0.002001115,0.001429492,0.0005407521,0.000693132,0.01749436],"genre_scores_gemma":[0.3566455,0.09740101,0.5344866,0.004987353,0.00160223,0.001844626,0.0007187732,0.0002353724,0.002078529],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03957574,"threshold_uncertainty_score":0.209299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.127032613772541,"score_gpt":0.3595339532839101,"score_spread":0.2325013395113691,"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."}}