{"id":"W3173410124","doi":"10.3168/jds.2020-20053","title":"Diet supplementation with canola meal improves milk production, reduces enteric methane emissions, and shifts nitrogen excretion from urine to feces in dairy cows","year":2021,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Soybean meal; Dry matter; Latin square; Canola; Propionate; Chemistry; Excretion; Meal; Rumen; Digestion (alchemy); Animal science; Neutral Detergent Fiber; Total mixed ration; Food science; Feces; Dairy cattle; Biology; Fermentation; Biochemistry; Lactation; Chromatography","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":[0.0001576706,0.0004557188,0.0003806957,0.000556399,0.0003254932,0.0003896447,0.0004489932,0.0004572593,0.002277752],"category_scores_gemma":[0.0003860857,0.0001368727,0.0002361077,0.0003748478,0.0002669384,0.0002892447,0.0002577539,0.0004884944,0.0002782715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004489689,"about_ca_system_score_gemma":0.0006705247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005461118,"about_ca_topic_score_gemma":0.01081114,"domain_scores_codex":[0.9998746,0.00002800787,0.000009955693,0.00003338611,0.00002468338,0.00002936635],"domain_scores_gemma":[0.9997827,0.00003263872,0.00004894216,0.00001449827,0.00003126189,0.00008995181],"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":[0.01261585,0.001613099,0.00314055,0.0007081474,0.000185819,0.0001079397,0.00006237883,0.0001315078,0.9605163,0.00009230378,0.0003039813,0.02052213],"study_design_scores_gemma":[0.0005528153,0.02489,0.08961313,0.0002353343,0.0009088079,0.0004352403,0.000422333,0.001706107,0.8685966,0.0003068061,0.01227508,0.00005773411],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969283,0.001572006,0.0004292585,0.0001497241,0.00004030374,0.00001906043,0.0002507759,0.00004392237,0.0005667725],"genre_scores_gemma":[0.9920673,0.001359676,0.003141959,0.0002688593,0.00002676616,0.00006744116,0.0007273817,0.00003251081,0.002307999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005461118,"threshold_uncertainty_score":0.01085865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887026838856997,"score_gpt":0.2631640946857537,"score_spread":0.2442938262971838,"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."}}