{"id":"W3107414072","doi":"10.1172/jci.insight.142976","title":"Fecal host biomarkers predicting severity of Clostridioides difficile infection","year":2020,"lang":"en","type":"article","venue":"JCI Insight","topic":"Clostridium difficile and Clostridium perfringens research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; McGill University Health Centre","funders":"UCB US; Concordia University; Merck Canada; McGill University Health Centre; Directorate for Mathematical and Physical Sciences; Radboud Universiteit; Concordia University of Edmonton; Medical Research and Materiel Command; Cidara Therapeutics; McGill University; CSL Behring","keywords":"Clostridioides; Medicine; Diarrhea; Feces; Internal medicine; Disease; Biomarker; Cohort; Epidemiology; Host (biology); Gastroenterology; Severity of illness; Immunology; Microbiology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001866582,0.0002546001,0.0005247059,0.0001761124,0.0001281036,0.0000302642,0.0001289168,0.000216128,0.0003949901],"category_scores_gemma":[0.0008205011,0.0002269374,0.0002676353,0.0009229114,0.0001758814,0.0001251197,0.0001623366,0.000493667,0.00009487714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001569248,"about_ca_system_score_gemma":0.0002704205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004015441,"about_ca_topic_score_gemma":0.00001805929,"domain_scores_codex":[0.9977911,0.00008563597,0.0005544659,0.0004629577,0.0006821056,0.0004236956],"domain_scores_gemma":[0.9986764,0.000151221,0.0001541414,0.000341827,0.0002553169,0.0004211306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001700431,0.000854321,0.2392401,0.0009132131,0.0004523841,0.0001616638,0.001126023,0.00001870224,0.7381827,0.00009744643,0.008265118,0.008987939],"study_design_scores_gemma":[0.002349528,0.001527188,0.09209836,0.0001845281,0.0001803299,0.00005517505,0.000209851,0.002847066,0.8780251,0.000006333625,0.02222535,0.0002912052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849262,0.0004175649,0.00007633163,0.002182428,0.0001892283,0.0005400067,0.00005711004,0.00018374,0.01142743],"genre_scores_gemma":[0.9984484,0.000314696,0.0001327374,0.0002659213,0.0005925637,0.00001836708,0.00006257508,0.0000416581,0.0001230251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1471417,"threshold_uncertainty_score":0.9254237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03805246330019772,"score_gpt":0.2898501923322842,"score_spread":0.2517977290320865,"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."}}