{"id":"W2145578053","doi":"10.3168/jds.2008-1379","title":"Increasing physically effective fiber content of dairy cow diets through forage proportion versus forage chop length: Chewing and ruminal pH","year":2009,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Dairy Farmers of Canada","keywords":"Silage; Dry matter; Latin square; Animal science; Neutral Detergent Fiber; Forage; Total mixed ration; Chemistry; Digestion (alchemy); Food science; Biology; Rumen; Agronomy; Lactation; Fermentation; Ice calving","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000743053,0.00013634,0.000313463,0.00003400131,0.000277717,0.00005489521,0.00025193,0.00005283448,0.00002387121],"category_scores_gemma":[0.0005142774,0.0000575396,0.0001175395,0.000407052,0.0005121259,0.001023398,0.00005905036,0.0001816693,0.000002023836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005315535,"about_ca_system_score_gemma":0.00004099277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002894428,"about_ca_topic_score_gemma":0.000004118159,"domain_scores_codex":[0.9985822,0.0000988277,0.0003742284,0.0002366672,0.0004279719,0.0002800783],"domain_scores_gemma":[0.9986311,0.0003211855,0.0005056613,0.00004878087,0.0003447222,0.0001486027],"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":[0.000902079,0.000226504,0.001570702,0.000009318846,0.00000880951,0.00001405675,0.000228145,0.000004958182,0.9392304,0.0002689738,0.00004865374,0.05748736],"study_design_scores_gemma":[0.001089723,0.004173688,0.9381331,0.0001915664,0.0000268085,0.0001107494,0.0007197328,0.00007620981,0.05356166,0.001420224,0.000340586,0.0001559698],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978822,0.000184991,0.0000261872,0.0009419086,0.000166483,0.0001881999,0.00000830389,0.000009788332,0.0005919466],"genre_scores_gemma":[0.9991392,0.00005633792,0.0004571603,0.00013146,0.0001931244,0.000001695132,0.000002604212,7.184619e-7,0.00001765268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9365624,"threshold_uncertainty_score":0.2346397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03779158702591808,"score_gpt":0.275260738752267,"score_spread":0.2374691517263489,"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."}}