{"id":"W3158797526","doi":"10.3389/fvets.2021.639335","title":"Supplemental Fiber Affects Body Temperature and Fecal Metabolites but Not Respiratory Rate or Body Composition in Mid-Distance Training Sled Dogs","year":2021,"lang":"en","type":"article","venue":"Frontiers in Veterinary Science","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Dry matter; Feces; Animal science; Neutral Detergent Fiber; Composition (language); Fiber; Chemistry; Medicine; Physiology; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006161998,0.0001689029,0.0002333151,0.0001788548,0.0001475452,0.00008999481,0.0001866364,0.0001026694,0.00001949254],"category_scores_gemma":[0.00007142162,0.0001628981,0.00003802226,0.0005018789,0.0003206448,0.00005586869,0.0001402329,0.0001394331,6.324333e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003531362,"about_ca_system_score_gemma":0.0001823971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006458283,"about_ca_topic_score_gemma":0.00000898481,"domain_scores_codex":[0.9984158,0.0002284537,0.0002061099,0.0006038251,0.0001818712,0.0003639531],"domain_scores_gemma":[0.9995588,0.00001345122,0.00005590738,0.0002292902,0.00004532131,0.00009720658],"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":[0.000521569,0.0000691223,0.002196354,0.00004002692,0.000005725965,0.0001538526,0.0001500471,0.000005605258,0.9947955,0.00002181141,0.0006971657,0.001343235],"study_design_scores_gemma":[0.002558386,0.0006477404,0.161207,0.0000954842,0.00001257411,0.00009730005,0.0006019312,0.0002671389,0.8075527,0.00004321667,0.02654107,0.0003754847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995382,0.003239663,0.0002642491,0.0001001538,0.0006420791,0.0001993886,0.00009649921,0.000008074587,0.00006789319],"genre_scores_gemma":[0.9918836,0.000269931,0.007089406,0.0003542884,0.0001132456,0.0000244843,0.0001217943,0.00001125485,0.0001320116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1872428,"threshold_uncertainty_score":0.6642792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673243878854635,"score_gpt":0.2719318533455606,"score_spread":0.2551994145570143,"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."}}