{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000251418,0.0002439699,0.0003926229,0.0001052905,0.0001648694,0.00003685013,0.0001110785,0.00007263347,0.00004911302],"category_scores_gemma":[0.0000243551,0.00009728959,0.00003717458,0.00009817,0.001855536,0.00007781251,0.0002668344,0.0001520076,1.127294e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001859614,"about_ca_system_score_gemma":0.00001636666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001505257,"about_ca_topic_score_gemma":0.000007807204,"domain_scores_codex":[0.9988432,0.00004540794,0.0002104937,0.0004739929,0.0002526353,0.0001742761],"domain_scores_gemma":[0.999465,0.0001552752,0.0001167907,0.00006258622,0.00007598934,0.0001243402],"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":[0.0003231763,0.00003401946,0.0001679049,0.00008461849,0.00003376744,0.0001159771,0.0002460288,6.399095e-8,0.989116,0.008323918,0.00002530212,0.001529263],"study_design_scores_gemma":[0.004207907,0.1851673,0.4131542,0.00937438,0.0006699028,0.005196758,0.008240204,0.0007498916,0.2911516,0.07665667,0.002882782,0.00254839],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955177,0.002298131,0.000001231267,0.0006437039,0.00002995293,0.0004817878,0.0003841666,0.000009582167,0.0006338005],"genre_scores_gemma":[0.9990692,0.0005455997,0.00008171087,0.0000596515,0.00005740255,0.000007935263,0.00001996506,0.000002506158,0.0001561017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6979644,"threshold_uncertainty_score":0.6836799,"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."}}