{"id":"W4220663454","doi":"10.1128/mbio.02949-21","title":"The CIAMIB: a Large and Metabolically Diverse Collection of Inflammation-Associated Bacteria from the Murine Gut","year":2022,"lang":"en","type":"article","venue":"mBio","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; University of British Columbia; University of Toronto","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; Government of Canada; National Institutes of Health; W. Garfield Weston Foundation; National Institute of General Medical Sciences","keywords":"Lachnospiraceae; Inflammation; Biology; Gut flora; Bacteria; Microbiology; Gut bacteria; Microbiome; Immunology; Bioinformatics; Genetics; Firmicutes","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":[0.0002486677,0.00005267303,0.00006996151,0.00000829052,0.0004758454,0.00001404425,0.000104453,0.00003634142,0.00007206041],"category_scores_gemma":[0.00005776462,0.00003540406,0.00003250194,0.00007528477,0.00003548258,0.000001342676,0.0001914196,0.00006822222,0.000001383277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001284313,"about_ca_system_score_gemma":0.00005302132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003123059,"about_ca_topic_score_gemma":0.001241357,"domain_scores_codex":[0.9994725,0.0001245913,0.0001214799,0.0001100089,0.00006092304,0.0001104949],"domain_scores_gemma":[0.99968,0.00002574459,0.00008766342,0.0001477392,0.0000394883,0.00001932565],"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":[0.00007479321,0.00003302123,0.009883877,0.000002265781,0.00006256333,2.763915e-7,0.0002664006,0.000001370252,0.9807257,0.0001441059,0.008369345,0.0004362982],"study_design_scores_gemma":[0.0008405523,0.0001398191,0.6563768,0.000002598917,0.00003340955,0.000002292196,0.0004128787,0.00004054098,0.02131892,0.00009524378,0.3206585,0.00007842522],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997785,0.0004320614,0.00001154843,0.001193041,0.0001336815,0.0001384066,0.0001961762,0.000004619369,0.0001054538],"genre_scores_gemma":[0.9985327,0.0001694999,0.00002480981,0.0002451764,0.00006840736,0.00001639456,0.0002232406,0.000005634597,0.0007140975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9594067,"threshold_uncertainty_score":0.3659866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005803312183839874,"score_gpt":0.2214119269147045,"score_spread":0.2156086147308646,"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."}}