{"id":"W4406365506","doi":"10.1002/9781683670438.cmph0112","title":"Clinical Breakpoints and Epidemiological Cutoff Values","year":2023,"lang":"en","type":"other","venue":"ClinMicroNow","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Ste. Anne's Hospital","funders":"","keywords":"Cutoff; Breakpoint; Epidemiology; Computational biology; Medicine; Computer science; Biology; Genetics; Physics; Internal medicine; Gene","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":[0.01336993,0.001410619,0.0008953882,0.01117827,0.0006178966,0.003925114,0.001999293,0.001573477,0.02618472],"category_scores_gemma":[0.05996305,0.0003170587,0.0008823991,0.005551867,0.001404234,0.001930816,0.002182796,0.002818914,0.009949218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001654494,"about_ca_system_score_gemma":0.001552246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001694738,"about_ca_topic_score_gemma":0.001049662,"domain_scores_codex":[0.9853503,0.004765525,0.003452287,0.001036957,0.004692966,0.0007019922],"domain_scores_gemma":[0.9542581,0.0155016,0.01017243,0.002851599,0.01515372,0.002062582],"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":[0.003886222,0.0008812731,0.3918459,0.002025103,0.0002219604,0.001926533,0.0007569319,0.003503522,0.006244191,0.06183392,0.08527324,0.4416011],"study_design_scores_gemma":[0.0007602763,0.001888272,0.4129035,0.003596084,0.0003624339,0.01484814,0.001701996,0.01103527,0.02005037,0.04754769,0.4849622,0.0003436787],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2034546,0.03834126,0.2131729,0.01322868,0.003822746,0.003871023,0.05645258,0.005189005,0.4624672],"genre_scores_gemma":[0.7321988,0.007613407,0.1854074,0.003007306,0.0009693634,0.003583241,0.03970874,0.001034747,0.02647692],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02618472,"threshold_uncertainty_score":0.08759665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06812736923443442,"score_gpt":0.4124854187586664,"score_spread":0.344358049524232,"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."}}