{"id":"W3181686680","doi":"10.3390/microorganisms9071459","title":"Evolution of Pig Fecal Microbiota Composition and Diversity in Response to Enterotoxigenic Escherichia coli Infection and Colistin Treatment in Weaned Piglets","year":2021,"lang":"en","type":"article","venue":"Microorganisms","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Montréal","keywords":"Biology; Lachnospiraceae; Feces; Enterotoxigenic Escherichia coli; Microbiology; Gut flora; Diarrhea; Microbiome; Antibiotics; Weaning; Lactobacillus; Escherichia coli; Immunology; Animal science; Bacteria; Firmicutes; 16S ribosomal RNA; Medicine; Internal medicine; Enterotoxin","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":[0.0001556494,0.0001169264,0.00016872,0.00008487392,0.00007813609,0.00001253833,0.00003462097,0.0001297728,0.000008556795],"category_scores_gemma":[0.00001733182,0.0001321828,0.00002458801,0.0001508421,0.00004659042,0.000004182815,0.0001880496,0.00005646236,0.000002395494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001978024,"about_ca_system_score_gemma":0.0001096105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001110487,"about_ca_topic_score_gemma":0.003751682,"domain_scores_codex":[0.9991279,0.0001930651,0.000181305,0.0002966383,0.00003404139,0.0001670388],"domain_scores_gemma":[0.9997115,0.00001138235,0.00004793824,0.0001249887,0.00004181666,0.00006236634],"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":[0.0006346796,0.0001934412,0.1093793,0.00002811112,0.000009164155,0.000008128629,0.0003977147,0.000004729645,0.8892257,0.000005211563,0.00003806731,0.00007574166],"study_design_scores_gemma":[0.0009858327,0.0002953944,0.4906597,0.0000233403,0.00000698233,0.0000222445,0.00005248297,0.000002140642,0.5075533,0.000004315243,0.0003233315,0.00007092567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99881,0.0003670402,0.0001592195,0.0002056888,0.00005145923,0.0003514358,0.00004240012,0.000004448982,0.000008320287],"genre_scores_gemma":[0.99904,0.0001322373,0.0005362806,0.0001217862,0.00001554503,0.000006206171,0.00006437684,0.000009221731,0.00007434066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3816724,"threshold_uncertainty_score":0.5390259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009291427176836136,"score_gpt":0.2402203291997062,"score_spread":0.2309289020228701,"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."}}