{"id":"W3015745491","doi":"10.5713/ajas.19.0761","title":"Evaluation of liquid and powdered forms of polyclonal antibody preparation against Streptococcus bovis and Fusobacterium necrophorum in cattle adapted or not adapted to highly fermentable carbohydrate diets","year":2020,"lang":"en","type":"article","venue":"Animal Bioscience","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Rumen; Streptococcus bovis; Fibrobacter succinogenes; Fusobacterium necrophorum; Latin square; Fermentation; Propionate; Biology; Food science; Animal science; Chemistry; Microbiology; Biochemistry","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":[0.000320712,0.0003257276,0.0003687728,0.0001878381,0.0001291716,0.0002561913,0.0001675214,0.0002447039,0.0004906121],"category_scores_gemma":[0.0003206759,0.0001386599,0.0002660867,0.0001674673,0.0002354782,0.0001734819,0.0001792775,0.0003696848,0.00006886071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000219647,"about_ca_system_score_gemma":0.0001340471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007864176,"about_ca_topic_score_gemma":0.001323387,"domain_scores_codex":[0.9996876,0.0000737863,0.00002373786,0.00007701241,0.00008295797,0.00005504133],"domain_scores_gemma":[0.9997573,0.00004304456,0.00008035098,0.00001680077,0.00003689677,0.00006551411],"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":[0.002489256,0.0003188589,0.002973386,0.00005889538,0.00001991922,0.00003264731,0.00005073726,0.00004694023,0.9918133,0.000006763883,0.000007293401,0.002182114],"study_design_scores_gemma":[0.00017388,0.05616714,0.1815334,0.00002298029,0.0002044813,0.0003311629,0.0003628832,0.0009735433,0.7587798,0.00003814845,0.001389657,0.00002289131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996101,0.0001471442,0.000137032,0.000005830492,0.000003803233,0.000008483219,0.00003484188,0.000001931746,0.00005093811],"genre_scores_gemma":[0.998094,0.0002378592,0.000935518,0.00003416379,0.000009935879,0.00003099641,0.0002445807,0.000003699301,0.000409129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007864176,"threshold_uncertainty_score":0.00169611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04583990810620194,"score_gpt":0.2923319770753041,"score_spread":0.2464920689691021,"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."}}