{"id":"W2575211474","doi":"10.1016/j.anifeedsci.2017.01.007","title":"Chemical composition and nutritive value of canola-quality Brassica juncea meal for poultry and the effect of enzyme supplementation","year":2017,"lang":"en","type":"article","venue":"Animal Feed Science and Technology","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Agriculture and Agri-Food Canada; Canola Council of Canada","keywords":"Canola; Brassica; Glucosinolate; Erucic acid; Meal; Biology; Composition (language); Agronomy; Rapeseed; Food science; Animal science","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":[0.0002047666,0.0003567956,0.0002509223,0.0005096731,0.0004157366,0.0004738462,0.0001863777,0.000360614,0.00129521],"category_scores_gemma":[0.0003655116,0.0002322497,0.0002587321,0.0003486933,0.0003529352,0.0002949943,0.0001717015,0.0003742105,0.000188585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007603756,"about_ca_system_score_gemma":0.000449327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01188107,"about_ca_topic_score_gemma":0.01688835,"domain_scores_codex":[0.9998782,0.00002475632,0.00001078226,0.00003413483,0.00002305868,0.00002919055],"domain_scores_gemma":[0.999732,0.00004164538,0.00004398838,0.00001147053,0.00005151766,0.0001194783],"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":[0.01573925,0.0002561813,0.008241997,0.0001028452,0.0001063419,0.0001413052,0.0001427477,0.0001523693,0.9716779,0.0001052267,0.00006328076,0.003270566],"study_design_scores_gemma":[0.0001669653,0.003932044,0.2241679,0.00003270673,0.0004548978,0.0003370862,0.0006310447,0.001336903,0.7671061,0.0001772384,0.001615591,0.00004163553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988004,0.0005770037,0.0001101683,0.00002285469,0.000008438687,0.00000515101,0.0001427292,0.000004348809,0.0003288617],"genre_scores_gemma":[0.9981439,0.0001644365,0.0002019261,0.00002744479,0.00000329233,0.000005975238,0.0002664564,0.000007356492,0.001179203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01188107,"threshold_uncertainty_score":0.02362382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006206838064959789,"score_gpt":0.2949438576804342,"score_spread":0.2887370196154744,"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."}}