{"id":"W4311530097","doi":"10.3390/molecules27238458","title":"Selection of Enzymatic Treatments for Upcycling Lentil Hulls into Ingredients Rich in Oligosaccharides and Free Phenolics","year":2022,"lang":"en","type":"article","venue":"Molecules","topic":"Food composition and properties","field":"Nursing","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia, Innovación y Universidades; Agencia Estatal de Investigación; University of Saskatchewan","keywords":"Chemistry; Food science; Enzymatic hydrolysis; Polyphenol; Hydrolysis; Antioxidant; Proanthocyanidin; Context (archaeology); Dry weight; Yield (engineering); Hydrolysate; Organic chemistry; Botany; Biology","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":[0.0003575365,0.0007596876,0.000412449,0.0004206299,0.0001675313,0.0005386965,0.0002764632,0.0003027418,0.0008735582],"category_scores_gemma":[0.0003537003,0.000206454,0.0004043776,0.0002857036,0.0002063536,0.000330177,0.000297333,0.0006316202,0.0004245947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001914291,"about_ca_system_score_gemma":0.0002653482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003594562,"about_ca_topic_score_gemma":0.001034043,"domain_scores_codex":[0.9997332,0.00003697799,0.00002781654,0.00006917911,0.00008188738,0.00005105148],"domain_scores_gemma":[0.999845,0.00003000773,0.0000480467,0.00001705267,0.00003291263,0.00002690897],"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":[0.00003459253,0.00002997687,0.0001335465,0.00004783046,0.000007412723,0.00003801623,0.00001190543,0.00004219087,0.9979789,0.00002129591,0.00001258424,0.001641814],"study_design_scores_gemma":[0.000005900139,0.0001737364,0.002241338,0.000008100213,0.00002306372,0.00007755361,0.00001985301,0.0002759559,0.9959792,0.0000152371,0.00117343,0.000006580907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711425,0.003240517,0.02297551,0.0000895394,0.00006324637,0.0002757637,0.0003724908,0.000113457,0.001727059],"genre_scores_gemma":[0.9542276,0.002678501,0.0389895,0.0001199988,0.00003808977,0.0002714641,0.001100543,0.0001218057,0.00245246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008735582,"threshold_uncertainty_score":0.002922356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709417476749236,"score_gpt":0.2593580667505755,"score_spread":0.2422638919830831,"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."}}