{"id":"W2141022853","doi":"10.1017/s1751731112001486","title":"Effect of grain and forage fractions of corn silage on milk production and composition in dairy cows","year":2012,"lang":"en","type":"article","venue":"animal","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Silage; Latin square; Dry matter; Rumen; Forage; Composition (language); Chemistry; Milk fat; Animal science; Food science; Fodder; Urea; Milk production; Milk protein; Fermentation; Agronomy; Biology; 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":[0.0002201374,0.0002909847,0.0002823155,0.000289633,0.0002336904,0.0004902519,0.0001857282,0.0002444395,0.0004466022],"category_scores_gemma":[0.0004010413,0.0001969085,0.0001719969,0.000184681,0.0002954155,0.000245611,0.0002119527,0.000306963,0.00008943714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004324292,"about_ca_system_score_gemma":0.0002276403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002641775,"about_ca_topic_score_gemma":0.00443538,"domain_scores_codex":[0.9998267,0.00004464772,0.00001736172,0.00003823547,0.00003256035,0.00004048913],"domain_scores_gemma":[0.9995499,0.00009140458,0.0001311466,0.00001522761,0.00002324846,0.0001889792],"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":[0.0318827,0.0007632024,0.02605397,0.0001221433,0.0001633248,0.0001714071,0.0001284781,0.0003159923,0.9330059,0.00004563745,0.00005508111,0.007292171],"study_design_scores_gemma":[0.0004023428,0.0196158,0.7038677,0.00002913075,0.0003700636,0.000342095,0.0005237953,0.002455545,0.271193,0.0001340877,0.001020881,0.00004550977],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999791,0.000124634,0.0000224357,0.000003854891,0.000001056867,0.000001040875,0.00001550839,0.000001440933,0.00003909644],"genre_scores_gemma":[0.9993606,0.0001181728,0.0002039716,0.0000243686,0.00000357399,0.000004130502,0.00008300276,0.000004660491,0.0001974743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002641775,"threshold_uncertainty_score":0.005252838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600646552453626,"score_gpt":0.2533657807726685,"score_spread":0.2373593152481323,"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."}}