{"id":"W3108936440","doi":"10.3390/microorganisms8121888","title":"Combinatorial Glycomic Analyses to Direct CAZyme Discovery for the Tailored Degradation of Canola Meal Non-Starch Dietary Polysaccharides","year":2020,"lang":"en","type":"article","venue":"Microorganisms","topic":"Probiotics and Fermented Foods","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Alberta; University of Lethbridge; Agriculture and Agri-Food Canada","funders":"Oak Ridge National Laboratory; Biotechnology and Biological Sciences Research Council; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; Center for Bioenergy Innovation; Office of Science; Alberta Agriculture and Forestry; U.S. Department of Energy; University of Alberta; National Science Foundation","keywords":"Biology; Food science; Canola; Polysaccharide; Digestion (alchemy); Starch; Cell wall; Biochemistry; Bacteria; Chemistry","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":[0.0002907119,0.0005917678,0.0003047103,0.0005523225,0.0001405548,0.0005803901,0.0001989739,0.0002692093,0.0005127652],"category_scores_gemma":[0.0003440623,0.0001786223,0.0003785695,0.0005313909,0.0001721164,0.0002593481,0.0003947477,0.0005653576,0.000247999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002241497,"about_ca_system_score_gemma":0.0002816026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005064633,"about_ca_topic_score_gemma":0.001326065,"domain_scores_codex":[0.9997994,0.00002849194,0.00001232453,0.00005078288,0.00007132845,0.0000377359],"domain_scores_gemma":[0.999882,0.00002390985,0.00003146057,0.00001270136,0.00002879972,0.00002105799],"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":[0.00004762788,0.00003054767,0.0002115294,0.0000369215,0.000009621835,0.00002688726,0.00001167231,0.0002220684,0.9966107,0.00005827504,0.00003559127,0.002698519],"study_design_scores_gemma":[0.00001197999,0.0002583239,0.005020076,0.000009239798,0.00004212122,0.0001171217,0.00004755662,0.003233272,0.9885938,0.0001243654,0.002531397,0.00001069862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647976,0.001438745,0.02938858,0.0002019158,0.0000359592,0.0002167906,0.001575176,0.0001762999,0.002168964],"genre_scores_gemma":[0.9424823,0.002048587,0.04937111,0.00018506,0.00001487557,0.0002229061,0.002857494,0.00008755659,0.002730204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005917678,"threshold_uncertainty_score":0.001715422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0547027963473834,"score_gpt":0.2717229580141156,"score_spread":0.2170201616667322,"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."}}