{"id":"W4296637682","doi":"10.1093/jas/skac247.415","title":"PSXIV-11 Microbial Characterization of Digital Dermatitis and Foot rot in Feedlot Cattle","year":2022,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Agriculture and Agri-Food Canada","funders":"","keywords":"Hoof; Fusobacterium necrophorum; Lameness; Fusobacterium; Lesion; Feedlot; Biology; Fusobacteria; Veterinary medicine; Foot rot; Medicine; Animal science; Pathology; Microbiology; Bacteroidetes; 16S ribosomal RNA; Bacteria; Anatomy; Bacteroides; Genetics; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003474235,0.0003849952,0.0004054126,0.00123785,0.0005695316,0.001183158,0.0001933975,0.0004405483,0.0008639643],"category_scores_gemma":[0.0003065139,0.0001781228,0.0002384032,0.001176056,0.0003097411,0.0002443723,0.0002774243,0.0002881149,0.000317059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007334914,"about_ca_system_score_gemma":0.0004940538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.021641,"about_ca_topic_score_gemma":0.03424518,"domain_scores_codex":[0.9995416,0.00003479882,0.00002605476,0.0001155813,0.0001802152,0.0001017843],"domain_scores_gemma":[0.9996679,0.00003157177,0.00009806306,0.000007757933,0.0001198794,0.00007480327],"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":[0.001005214,0.0002283453,0.4524238,0.000363956,0.00007548255,0.0005327957,0.00113192,0.0003102527,0.531886,0.0000576527,0.0002605187,0.01172403],"study_design_scores_gemma":[0.000006211078,0.0004515498,0.9818971,0.00003714491,0.00004210166,0.0003694204,0.00132784,0.0003728515,0.01415887,0.00001998192,0.001307763,0.000009096607],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976605,0.0002981155,0.0002225263,0.00001623191,0.000006177861,0.00002114023,0.001271968,0.000006989547,0.0004962492],"genre_scores_gemma":[0.9935474,0.0004616233,0.001003159,0.0000574823,0.000008018395,0.00002808015,0.003119329,0.000006835498,0.001767962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.021641,"threshold_uncertainty_score":0.04303002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03369584206755936,"score_gpt":0.2959528579567406,"score_spread":0.2622570158891813,"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."}}