{"id":"W3048357338","doi":"10.3168/jds.2020-18785","title":"Milk production responses, rumen fermentation, and blood metabolites of dairy cows fed increasing concentrations of forage rape (Brassica napus ssp. Biennis)","year":2020,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Valacta (Canada)","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico","keywords":"Latin square; Dry matter; Rumen; Silage; Forage; Meal; Lactation; Canola; Animal science; Soybean meal; Rapeseed; Dairy cattle; Food science; Total mixed ration; Biology; Chemistry; Fermentation; Agronomy; Ice calving","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":[0.0001476242,0.0002512706,0.0002768887,0.0002801055,0.0002390369,0.0002939712,0.00008809972,0.0002285309,0.0005873053],"category_scores_gemma":[0.0002190461,0.0001722543,0.0001396936,0.0001773717,0.0001772508,0.0001533881,0.0001085493,0.0003138976,0.0001116894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000321107,"about_ca_system_score_gemma":0.0001297222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002032942,"about_ca_topic_score_gemma":0.004246333,"domain_scores_codex":[0.9999157,0.000020804,0.000005309597,0.00002588991,0.00001532572,0.00001677989],"domain_scores_gemma":[0.9997887,0.00003138468,0.00008054392,0.00001275547,0.00002089165,0.00006576387],"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":[0.008627717,0.0003752366,0.06679913,0.00007287874,0.00008558461,0.000116779,0.000276085,0.00009699283,0.9182521,0.00001863149,0.00004724525,0.005231672],"study_design_scores_gemma":[0.00005715439,0.003564906,0.9328035,0.000007571233,0.00008709621,0.0001575566,0.0003828029,0.0004033599,0.06209348,0.00002701446,0.0004047585,0.00001069046],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998065,0.00007977889,0.00003043154,0.000004321579,5.377274e-7,0.00000142705,0.00003804867,0.000001228355,0.00003762602],"genre_scores_gemma":[0.9989737,0.0001315521,0.0002459447,0.00002645641,0.000002189907,0.00001195124,0.0001972537,0.000002167695,0.0004088754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002032942,"threshold_uncertainty_score":0.004042208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02777777041002088,"score_gpt":0.2589220005044107,"score_spread":0.2311442300943898,"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."}}