{"id":"W2471715177","doi":"10.1021/acs.jafc.5b03717","title":"Transformation with <i>TT8</i> and <i>HB12</i> RNAi Constructs in Model Forage (<i>Medicago sativa</i>, Alfalfa) Affects Carbohydrate Structure and Metabolic Characteristics in Ruminant Livestock Systems","year":2015,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"Agricultural Development Fund; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Government of Jiangxi Province","keywords":"Ruminant; Transformation (genetics); Lignin; Biology; Rumen; Forage; RNA interference; Medicago sativa; Biochemistry; Food science; Chemistry; Animal science; Agronomy; Botany; Gene; Pasture; Fermentation","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":[0.0001617847,0.0004583974,0.0002417124,0.0002640296,0.0002511444,0.000389905,0.0002822447,0.0003663145,0.001449612],"category_scores_gemma":[0.0001409027,0.0002069417,0.000418721,0.0002127599,0.0002894298,0.0001612402,0.000277767,0.0007377417,0.0005118623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004441885,"about_ca_system_score_gemma":0.0002243883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002884497,"about_ca_topic_score_gemma":0.004246875,"domain_scores_codex":[0.9997476,0.00002441268,0.00003056067,0.00008475898,0.00006456836,0.00004818205],"domain_scores_gemma":[0.9998172,0.00003172103,0.00007348168,0.00002170675,0.00002223811,0.00003354421],"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":[0.00003614946,0.000008354068,0.0001533865,0.00001850843,0.000004050619,0.0000231555,0.00001954109,0.0000192136,0.9991865,0.00004050521,0.00002421395,0.0004665706],"study_design_scores_gemma":[0.00002131118,0.0001861058,0.01703888,0.00001316626,0.00005217997,0.0002309838,0.0001193713,0.001396301,0.9734215,0.00005260888,0.007452744,0.00001471982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887654,0.0004998325,0.006474238,0.0001097696,0.00005405115,0.00004633176,0.001767714,0.0002120293,0.002070565],"genre_scores_gemma":[0.9769287,0.00047179,0.006491804,0.0001578072,0.00001256774,0.0001262916,0.003885008,0.0001711656,0.01175495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002884497,"threshold_uncertainty_score":0.005735457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067383819882874,"score_gpt":0.1874751526620875,"score_spread":0.1768013144632588,"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."}}