{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003512328,0.0004712709,0.0003519316,0.0007944794,0.0001371091,0.0004472788,0.00008717328,0.0003139311,0.0004429916],"category_scores_gemma":[0.0005680659,0.000132318,0.0001625263,0.0004322529,0.0001158324,0.0001390886,0.0002561151,0.0003373917,0.00009943583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375557,"about_ca_system_score_gemma":0.0001360407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004563572,"about_ca_topic_score_gemma":0.0008251651,"domain_scores_codex":[0.9998277,0.00003917491,0.00001710392,0.00004435371,0.0000406402,0.00003084693],"domain_scores_gemma":[0.9996483,0.00005230112,0.0001420973,0.00001632799,0.00005831257,0.00008272734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002389364,0.0002740454,0.8148044,0.00009716106,0.0001166204,0.0002138119,0.00008987274,0.000302057,0.1700148,0.00003479247,0.0002306476,0.01143245],"study_design_scores_gemma":[0.00002448268,0.0009852909,0.9783822,0.00001582404,0.00009243535,0.0004608529,0.0001312155,0.001556704,0.0178861,0.00004116635,0.0004133651,0.00001038357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988372,0.0004602755,0.00028077,0.00002011864,0.000007381271,0.00001224079,0.0001931519,0.000009770123,0.0001792425],"genre_scores_gemma":[0.9985607,0.0001864166,0.0007587998,0.00002568811,0.000008480166,0.000008194222,0.0002719629,0.00000242487,0.0001774007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007944794,"threshold_uncertainty_score":0.001857519,"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."}}