{"id":"W2221538239","doi":"10.1017/s1751731115001949","title":"Prediction of enteric methane emissions from Holstein dairy cows fed various forage sources","year":2015,"lang":"en","type":"article","venue":"animal","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Université Laval","funders":"Agriculture and Agri-Food Canada; Canadian Dairy Commission; Dairy Farmers of Canada; Université Laval; Agilent Technologies","keywords":"Silage; Dry matter; Total mixed ration; Animal science; Latin square; Forage; Context (archaeology); Neutral Detergent Fiber; Dairy cattle; Rumen; Biology; Mathematics; Food science; Chemistry; Fermentation; Agronomy; Lactation; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003819346,0.0002953328,0.000359338,0.0002723857,0.0001331423,0.0003127762,0.0001365128,0.0002602251,0.0001845706],"category_scores_gemma":[0.0004903089,0.0001447131,0.0002605841,0.0001612931,0.00009444424,0.000146374,0.0001715626,0.0001745603,0.00006270756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004309437,"about_ca_system_score_gemma":0.0002327048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006398474,"about_ca_topic_score_gemma":0.01063206,"domain_scores_codex":[0.9999069,0.00002296837,0.000005493495,0.0000339425,0.00001600223,0.00001471541],"domain_scores_gemma":[0.9997321,0.0001163751,0.00007635559,0.00001234853,0.00002512117,0.00003770493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00289072,0.0001667977,0.8931713,0.00003727206,0.0002344436,0.00008223656,0.00006462615,0.005722578,0.08214116,0.00001472662,0.00003429441,0.0154399],"study_design_scores_gemma":[0.00002060164,0.0009101202,0.9763529,0.000003310729,0.00006733008,0.0000400299,0.00006764442,0.0159585,0.006481064,0.00002118195,0.00007130666,0.000006128203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996511,0.00002791881,0.0002519592,0.000001657188,2.59766e-7,0.000001457438,0.00004720747,0.000002554434,0.00001590913],"genre_scores_gemma":[0.9984261,0.00005229534,0.0009635993,0.000004608461,9.816183e-7,0.000006418493,0.0004203065,0.000001746614,0.0001240051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006398474,"threshold_uncertainty_score":0.01272243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0552852411879923,"score_gpt":0.2480474132165099,"score_spread":0.1927621720285176,"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."}}