{"id":"W2765430029","doi":"10.3168/jds.2017-13267","title":"Effects of Leymus chinensis replacement with whole-crop wheat hay on blood parameters, fatty acid composition, and microbiomes of Holstein bulls","year":2017,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"National Beef Cattle Industrial Technology System","keywords":"Rumen; Hay; Latin square; Biology; Animal science; Dry matter; Polyunsaturated fatty acid; Fatty acid; Composition (language); Food science; Fermentation; 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":[0.0004448229,0.000473478,0.0006577332,0.0003560282,0.0004688073,0.0004527973,0.0003661102,0.0003757023,0.0008649255],"category_scores_gemma":[0.0002846742,0.0001954757,0.0004069419,0.0002294916,0.000388107,0.0003341495,0.0003756221,0.0005761483,0.0001473431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006230749,"about_ca_system_score_gemma":0.0004392118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005346181,"about_ca_topic_score_gemma":0.01523323,"domain_scores_codex":[0.9996479,0.00007323174,0.00002471429,0.0001117561,0.00007981044,0.00006264602],"domain_scores_gemma":[0.9996248,0.00003760383,0.0000794904,0.00002692956,0.00003774262,0.0001933856],"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":[0.01818294,0.00212255,0.02652533,0.0001884664,0.0003083857,0.0002167899,0.0003481787,0.000126792,0.9415879,0.000045308,0.0001093499,0.010238],"study_design_scores_gemma":[0.0007871364,0.06090448,0.6719192,0.00007445684,0.000973486,0.0004473029,0.002261504,0.001537177,0.25615,0.0001123483,0.004736113,0.0000967903],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996079,0.0001980033,0.00005253941,0.00001995491,0.00000707141,0.000007745706,0.00004680253,0.000003681349,0.00005630864],"genre_scores_gemma":[0.9978579,0.0002665218,0.0003832462,0.0001241766,0.0000102178,0.00003484339,0.0002369881,0.000007575877,0.001078554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005346181,"threshold_uncertainty_score":0.01063013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208056427925285,"score_gpt":0.2306762473469788,"score_spread":0.2185956830677259,"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."}}