{"id":"W1503140770","doi":"10.3920/978-90-8686-712-7_20","title":"Prediction of methane production in beef cattle within a mechanistic digestion model","year":2011,"lang":"en","type":"book-chapter","venue":"Wageningen Academic Publishers eBooks","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Rumen; Beef cattle; Digestion (alchemy); Methane; Feedlot; Fermentation; Animal science; Greenhouse gas; Biology; Manure; Food science; Chemistry; Agronomy; Ecology; Chromatography","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":[0.0006026225,0.0003577371,0.00051129,0.0001448759,0.00006853822,0.00002702259,0.000384346,0.001025898,0.0001408054],"category_scores_gemma":[0.0001768251,0.000191942,0.0001513199,0.00007664528,0.0001997376,0.0003394789,0.0001133885,0.0009834616,0.00001689319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00011847,"about_ca_system_score_gemma":0.00006191347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000115389,"about_ca_topic_score_gemma":0.00007842019,"domain_scores_codex":[0.9978324,0.00007544712,0.0007393579,0.0006953617,0.0003309996,0.0003264165],"domain_scores_gemma":[0.9988668,0.00006875756,0.0006328475,0.0001205351,0.0001783113,0.0001327682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006324286,0.0001127818,0.0003152115,0.0001608939,0.0001386374,0.00001006269,0.001402989,0.0001790941,0.8563174,0.09340182,0.006889953,0.04043871],"study_design_scores_gemma":[0.001236607,0.001622625,0.00730622,0.001767082,0.0005276923,0.00009798801,0.0003369418,0.001179831,0.0863436,0.8626366,0.03481172,0.002133087],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4136346,0.001132687,0.000110954,0.0007363081,0.001854287,0.002469619,0.00067701,0.0004389074,0.5789456],"genre_scores_gemma":[0.8131549,0.00008810735,0.0001657768,0.00009817853,0.0004429149,0.00009401338,0.0006038146,0.00001171355,0.1853406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7699738,"threshold_uncertainty_score":0.7912661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07101025707418698,"score_gpt":0.2344217996323187,"score_spread":0.1634115425581317,"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."}}