{"id":"W4283722390","doi":"10.5713/ab.22.0076","title":"Quantitation of relationship and development of nutrient prediction with vibrational molecular structure spectral profiles of feedstocks and co-products from canola bio-oil processing","year":2022,"lang":"en","type":"article","venue":"Animal Bioscience","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Tianjin Agricultural University; Canola Council of Canada; Western Grains Research Foundation; University of Saskatchewan; Saskatchewan Forage Network; Natural Sciences and Engineering Research Council of Canada; Saskatchewan Canola Development Commission","keywords":"Canola; Carbohydrate; Chemistry; Nutrient; Food science; Biochemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003214788,0.0003318112,0.0001359637,0.0007665693,0.0001067955,0.0002957385,0.0001613584,0.0002146746,0.0007032027],"category_scores_gemma":[0.000656947,0.0001399783,0.000242285,0.0005270861,0.0001199373,0.0003710749,0.0001699328,0.0002600691,0.0001705147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002654522,"about_ca_system_score_gemma":0.0001728771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002942455,"about_ca_topic_score_gemma":0.004934266,"domain_scores_codex":[0.9998387,0.00001570683,0.000008036774,0.00004818599,0.00007181033,0.00001765949],"domain_scores_gemma":[0.9997204,0.0001014306,0.00007413534,0.00001493655,0.00007339908,0.00001570834],"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":[0.0004282049,0.000119564,0.1789878,0.0002218533,0.0001336956,0.0001108287,0.0001117124,0.005681382,0.7664095,0.0002722104,0.0001311813,0.04739207],"study_design_scores_gemma":[0.000009414956,0.0003289386,0.5379572,0.00002095505,0.0001248157,0.0001838721,0.000259815,0.06907324,0.3903132,0.0002981427,0.001398399,0.00003202571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902971,0.000267027,0.008318501,0.00002590553,0.000003911493,0.00001205077,0.0002534486,0.00003693242,0.0007851998],"genre_scores_gemma":[0.9907381,0.0002291029,0.007724559,0.00001459542,0.000002620398,0.00001856382,0.0004902514,0.00001041573,0.0007717825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002942455,"threshold_uncertainty_score":0.005850613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824098785995379,"score_gpt":0.253166170594799,"score_spread":0.2349251827348452,"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."}}