{"id":"W4286516499","doi":"10.1016/j.cmi.2022.07.011","title":"Concurrent external validation of bloodstream infection probability models","year":2022,"lang":"en","type":"article","venue":"Clinical Microbiology and Infection","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Percentile; Statistics; Calibration; Medicine; Statistic; Population; Logistic regression; Coverage probability; Multivariate statistics; Sample size determination; Confidence interval; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.000875128,0.00007820911,0.0001412497,0.00003031156,0.0001481783,0.000008358543,0.00004356224,0.0001254479,0.00007657721],"category_scores_gemma":[0.0002469556,0.00008097912,0.00008891223,0.00006076194,0.000158041,0.000008460308,0.0001326397,0.0001588131,0.000002004766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001433314,"about_ca_system_score_gemma":0.00004155713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006485291,"about_ca_topic_score_gemma":0.00002289689,"domain_scores_codex":[0.9986576,0.0004753491,0.0004381143,0.0003155961,0.00002173131,0.00009164701],"domain_scores_gemma":[0.9994577,0.00004084839,0.0002134964,0.0001635523,0.00009156956,0.00003281104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004746372,0.0003026125,0.230677,0.00001912473,0.0000210946,4.770241e-8,0.00001596757,0.0002134888,0.7622432,0.0001832257,0.0001175225,0.006159219],"study_design_scores_gemma":[0.003057628,0.004514921,0.4861368,0.00003284946,0.0001531955,0.0001908814,0.00002804873,0.0009802047,0.4772722,0.005084739,0.02196959,0.0005789348],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959483,0.00006734079,0.002788541,0.00003445996,0.0008340998,0.000197343,0.00002558869,0.00001611643,0.00008821932],"genre_scores_gemma":[0.9992841,0.0001061329,0.00009766256,0.00005720536,0.0001130528,0.00002645053,0.0002592642,0.000005135114,0.00005092011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.284971,"threshold_uncertainty_score":0.3302233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05325439177535907,"score_gpt":0.3281455497960555,"score_spread":0.2748911580206964,"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."}}