{"id":"W2164509784","doi":"10.3168/jds.2007-0572","title":"Modeling the Adequacy of Dietary Fiber in Dairy Cows Based on the Responses of Ruminal pH and Milk Fat Production to Composition of the Diet","year":2008,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":299,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Deutsche Forschungsgemeinschaft","keywords":"Food science; Composition (language); Milk fat; Milk production; Production (economics); Dairy cattle; Dietary fiber; Chemistry; Animal science; Biology; Linseed oil; Economics","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":[0.000779752,0.00006079785,0.0001421227,0.00003926047,0.0002179086,0.000006246458,0.0003220208,0.00002081868,0.000008971109],"category_scores_gemma":[0.0002687848,0.00001657273,0.00006237295,0.0005477435,0.0006607757,0.0001426857,0.00005109091,0.0001146185,3.261107e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001360424,"about_ca_system_score_gemma":0.00003349775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004400814,"about_ca_topic_score_gemma":0.00001437837,"domain_scores_codex":[0.998934,0.0001938415,0.0003010958,0.0001124177,0.0003539844,0.0001046813],"domain_scores_gemma":[0.9991499,0.0003182825,0.0002335377,0.0000691554,0.0001972484,0.00003190682],"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":[0.0008660292,0.0001582502,0.005917524,0.000005878826,0.00000186961,8.626868e-7,0.0003254445,0.004689971,0.9866549,0.00003570378,0.0001482867,0.001195292],"study_design_scores_gemma":[0.0001647849,0.001382389,0.8820093,0.0002233914,0.0000071171,0.00003061962,0.0007375114,0.004102451,0.1109493,0.0002730179,0.0000661709,0.0000539473],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909666,0.00007554386,0.000005088907,0.008691779,0.00007610064,0.0001304548,0.00001001523,0.000001134617,0.00004331959],"genre_scores_gemma":[0.9996212,0.00004432138,0.0000859683,0.0001855844,0.00004829772,0.000001415795,4.630165e-7,3.420723e-7,0.0000123763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8760918,"threshold_uncertainty_score":0.2434655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05170335642302641,"score_gpt":0.2636289597490013,"score_spread":0.2119256033259749,"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."}}