{"id":"W3010479002","doi":"10.1111/jvim.15748","title":"Fecal microbiota in horses with asthma","year":2020,"lang":"en","type":"article","venue":"Journal of Veterinary Internal Medicine","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Feces; Hay; Asthma; Exacerbation; Medicine; Gut flora; Immunology; Hay fever; Microbiome; Horse; Biology; Microbiology; Animal science; Bioinformatics","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":[0.0003788114,0.0003270694,0.0004408287,0.0008173858,0.0005514924,0.0008540156,0.0001820935,0.0005746919,0.001484896],"category_scores_gemma":[0.001016283,0.0001795311,0.0002721928,0.0004779821,0.0004060639,0.0003092277,0.000404073,0.0002772173,0.0002666326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004636892,"about_ca_system_score_gemma":0.000208485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002563425,"about_ca_topic_score_gemma":0.003428286,"domain_scores_codex":[0.9994658,0.0001150651,0.00004417271,0.0001448051,0.0001154036,0.0001147155],"domain_scores_gemma":[0.9995955,0.00003914793,0.000214654,0.00001828984,0.00007183149,0.00006061349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000932713,0.0001612546,0.9402782,0.0002499763,0.00009306254,0.0008307231,0.0006185498,0.0001144099,0.04266929,0.00006023044,0.00037807,0.0136135],"study_design_scores_gemma":[0.000005815032,0.0004699316,0.9945257,0.00006224697,0.00006662719,0.001292766,0.0005256902,0.0002103406,0.001933117,0.00005796066,0.0008428616,0.000007120168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979392,0.001101505,0.0001818864,0.00006620274,0.00001228633,0.00001828501,0.0002759729,0.000006927894,0.0003976508],"genre_scores_gemma":[0.9984871,0.0003822754,0.0004401766,0.00005049379,0.00001537785,0.00001919182,0.0003336785,0.000003429264,0.0002683433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002563425,"threshold_uncertainty_score":0.005096972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02493725651827502,"score_gpt":0.3029958339391868,"score_spread":0.2780585774209118,"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."}}