{"id":"W4402939967","doi":"10.1111/jvim.17201","title":"Fecal microbiota of diarrheic calves: Before, during, and after recovering from disease","year":2024,"lang":"en","type":"article","venue":"Journal of Veterinary Internal Medicine","topic":"Animal health and immunology","field":"Veterinary","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Diarrhea; Feces; Medicine; Dysbiosis; Gut flora; UniFrac; Lactobacillus; Clostridium difficile; Physiology; Veterinary medicine; Internal medicine; Gastroenterology; Biology; Immunology; Microbiology; Food science; Antibiotics; Bacteria; 16S ribosomal RNA","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003774634,0.0002376296,0.0004373419,0.0005364302,0.0003666574,0.0006053979,0.0001729269,0.0004010251,0.0005951949],"category_scores_gemma":[0.0008942795,0.0001754425,0.0002102709,0.0003681545,0.0002667341,0.0003036831,0.0002814611,0.0003771964,0.0001194112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005144775,"about_ca_system_score_gemma":0.0003745975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006402905,"about_ca_topic_score_gemma":0.009753916,"domain_scores_codex":[0.9996786,0.00003700493,0.00001804789,0.00006430534,0.00007657961,0.0001254163],"domain_scores_gemma":[0.9992614,0.00009386385,0.000200967,0.00002320605,0.0001720679,0.0002484713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001309926,0.000189746,0.932282,0.00005353414,0.0000517148,0.0003594539,0.0006233914,0.00005564658,0.06026362,0.0000116446,0.00005922057,0.004740081],"study_design_scores_gemma":[0.000003367451,0.0004042387,0.998305,0.00000443706,0.00001703162,0.0001060814,0.0002314782,0.00003857565,0.0008349426,0.000003646806,0.00004830696,0.000002924015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997609,0.00007688119,0.00002778619,0.000002851037,0.000001065815,0.000003069686,0.00007080608,9.006736e-7,0.00005575523],"genre_scores_gemma":[0.9993144,0.00009334044,0.00009739093,0.00001552926,0.000002819307,0.000003997462,0.0003317798,0.000001089044,0.0001394765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006402905,"threshold_uncertainty_score":0.01273125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02665305848026997,"score_gpt":0.3399576727467683,"score_spread":0.3133046142664983,"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."}}