{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001647491,0.0001260125,0.0002645783,0.00007134351,0.00001571571,0.00000645156,0.0002193799,0.00006503228,0.00007150558],"category_scores_gemma":[0.00006142606,0.0000840733,0.00005356088,0.00008092383,0.00009227396,0.000005843686,0.00005923141,0.0002526488,0.00000438505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001978234,"about_ca_system_score_gemma":0.00007296889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000222836,"about_ca_topic_score_gemma":0.000009725171,"domain_scores_codex":[0.9991335,0.00005604825,0.0003907343,0.0001406815,0.0001125705,0.0001664167],"domain_scores_gemma":[0.9994318,0.00001027755,0.0002154602,0.00008881954,0.00008424578,0.0001693861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002149643,0.00004950461,0.002974387,0.00004993874,0.00003994527,0.0006803383,0.0002720552,0.000007925785,0.9865613,0.000003130113,0.006168414,0.00104339],"study_design_scores_gemma":[0.0148603,0.1429983,0.1147008,0.002788119,0.00007745412,0.037187,0.001752162,0.00005599779,0.1229913,0.00001798837,0.5618851,0.0006855151],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922453,0.001032212,0.0005932399,0.005531696,0.0002104816,0.00005702405,0.000003094669,0.000002092448,0.000324841],"genre_scores_gemma":[0.9957345,0.0002766461,0.0006610496,0.002314204,0.000906418,5.318439e-7,0.000004411666,0.00001427602,0.00008793707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.86357,"threshold_uncertainty_score":0.3428409,"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."}}