{"id":"W1536806400","doi":"10.1002/jsfa.6218","title":"Chemical composition and ruminal nutrient degradability of fresh and ensiled amaranth forage","year":2013,"lang":"en","type":"article","venue":"Journal of the Science of Food and Agriculture","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Amaranth; Forage; Ruminant; Silage; Rumen; Oxalate; Cultivar; Agronomy; Composition (language); Chemical composition; Chemistry; Biology; Animal science; Crop; Food science; Fermentation","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":[0.0001923478,0.0002356069,0.0001986062,0.0004841803,0.000217124,0.0003719047,0.0001096461,0.0001992367,0.0005055353],"category_scores_gemma":[0.0003081097,0.00008441761,0.0001862822,0.00033502,0.000183272,0.0002994847,0.0001596654,0.0002433382,0.00009425288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003651252,"about_ca_system_score_gemma":0.0001331319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002501297,"about_ca_topic_score_gemma":0.003356829,"domain_scores_codex":[0.9998766,0.00002451083,0.0000118478,0.0000305995,0.00003554238,0.00002090483],"domain_scores_gemma":[0.9997268,0.00004814468,0.00009548787,0.00001349743,0.00006116028,0.00005488938],"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":[0.001029312,0.0000725855,0.02583897,0.0000810037,0.00008588962,0.00007557249,0.0001016088,0.00007879577,0.969987,0.00002213369,0.00001389876,0.0026131],"study_design_scores_gemma":[0.00001489853,0.00150095,0.8729641,0.00001321457,0.0001035543,0.000407033,0.0002973911,0.0006110924,0.1233714,0.00005732293,0.0006444341,0.00001454348],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995295,0.0001574954,0.0001014124,0.000003284837,0.000001033113,0.000002901314,0.00009347403,0.000001648591,0.0001091261],"genre_scores_gemma":[0.9983867,0.0001814095,0.0005753625,0.00001206005,0.00000282618,0.000008885387,0.0004803869,0.000007424995,0.0003447978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002501297,"threshold_uncertainty_score":0.004973471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008827902566221171,"score_gpt":0.1968067707623222,"score_spread":0.187978868196101,"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."}}