{"id":"W4392004390","doi":"10.5772/intechopen.114241","title":"Using Conventional Ruminant Techniques and Molecular Spectroscopy to Study the Impact of Additive Fibrolytic Enzymes and Maturity Stage on Nutritional and Molecular Structural Changes of Legume and Legume-Cereal Intercropped Silage","year":2024,"lang":"en","type":"book-chapter","venue":"Veterinary medicine and science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Centers for Disease Control and Prevention; Australian Government; Saskatchewan Canola Development Commission; Natural Sciences and Engineering Research Council of Canada; Saskatchewan Pulse Growers","keywords":"Silage; Legume; Forage; Agronomy; Biology; Ruminant; Fodder; Intercropping; Crop","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":[0.0003605622,0.0004953265,0.0002930908,0.0007298065,0.0001901595,0.0003892538,0.0002016263,0.0004193266,0.001472537],"category_scores_gemma":[0.0002312228,0.0002479779,0.0003543958,0.0005874126,0.0002266316,0.000542493,0.0002364007,0.0007395384,0.0003508794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001697181,"about_ca_system_score_gemma":0.0001556114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006891418,"about_ca_topic_score_gemma":0.001537409,"domain_scores_codex":[0.9998407,0.0000239336,0.000006662568,0.00005243295,0.00005009996,0.00002615453],"domain_scores_gemma":[0.9997913,0.00005185701,0.00007640703,0.00001569487,0.00004529696,0.00001941665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009942748,0.00002176094,0.001622089,0.0001505099,0.00002907765,0.00003828382,0.00005211215,0.00004433401,0.9929484,0.0000855854,0.00003447038,0.004873941],"study_design_scores_gemma":[0.00002239888,0.001834795,0.1353006,0.0001022707,0.0002338067,0.001105038,0.0006273856,0.001530003,0.8475278,0.0004893869,0.01117833,0.00004813499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9247028,0.02232402,0.04668023,0.0001808557,0.0001305467,0.0000961303,0.001021912,0.000153058,0.004710385],"genre_scores_gemma":[0.8996167,0.02189881,0.0664121,0.0004525474,0.00006655223,0.0002440879,0.001607429,0.0001027874,0.009598998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001472537,"threshold_uncertainty_score":0.004926085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05328989393311392,"score_gpt":0.3375854264355102,"score_spread":0.2842955325023963,"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."}}