{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001272985,0.000316136,0.00126193,0.00009138734,0.00004314497,0.00001181081,0.0001179007,0.0009456162,0.001530769],"category_scores_gemma":[0.001980157,0.000230776,0.0003549395,0.00008974483,0.000677351,0.00001717527,0.0001237783,0.0006878705,0.001845275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004009049,"about_ca_system_score_gemma":0.0001090394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007914964,"about_ca_topic_score_gemma":0.0002134708,"domain_scores_codex":[0.9977998,0.0001994764,0.0006738554,0.0008191207,0.0001468821,0.0003608467],"domain_scores_gemma":[0.9981005,0.0007468971,0.0002122556,0.0006251347,0.0000401244,0.0002751107],"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":[0.00008843459,0.00009022563,0.3279272,0.0001445213,0.0001287643,0.00007083849,0.000006949104,7.281397e-9,0.00002317739,0.0000563354,0.6510353,0.02042824],"study_design_scores_gemma":[0.0007827315,0.0003116623,0.4087784,0.0007077225,0.0002264236,0.00001974232,0.00002896598,0.000008738934,0.000006218709,0.000477242,0.5883953,0.0002568625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06234472,0.01949968,0.0003820919,0.003626271,0.003457583,0.002223912,0.0003442031,0.003658064,0.9044635],"genre_scores_gemma":[0.009610328,0.01176207,0.001710551,0.001297024,0.001839195,0.00001302774,0.00006678398,0.000671407,0.9730296],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0808512,"threshold_uncertainty_score":0.999382,"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."}}