{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001133612,0.0001371063,0.000222752,0.00001064269,0.0001983263,0.00007976084,0.0003705082,0.00006159035,0.00003486542],"category_scores_gemma":[0.00004895894,0.00004996791,0.0001239367,0.0003309487,0.00004925207,0.00008985979,0.0001211989,0.00007703838,0.00000608489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002714224,"about_ca_system_score_gemma":0.00002106094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001023769,"about_ca_topic_score_gemma":0.0003423821,"domain_scores_codex":[0.9991193,0.00003017893,0.00023197,0.0002548378,0.0001389571,0.0002247332],"domain_scores_gemma":[0.9995342,0.0001680505,0.00008502014,0.0000661884,0.00006090719,0.00008557896],"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":[0.0002169906,0.00004570548,0.0004685847,0.000008148711,0.00005727261,5.346336e-7,0.0002032644,0.00001475955,0.9963768,0.0001323936,0.0005249357,0.001950676],"study_design_scores_gemma":[0.0002907235,0.001051928,0.01431161,0.00001109932,0.00007704772,7.35933e-7,0.0004109883,0.0001460474,0.9822789,0.0002115619,0.001042846,0.0001665372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937285,0.0001596599,0.0002205275,0.004797329,0.0002698147,0.0004528313,0.0003031143,0.00002445347,0.00004377658],"genre_scores_gemma":[0.9988799,0.00002235958,0.0001704539,0.0005221452,0.0002420279,0.00001285437,0.0001055134,0.000002416739,0.00004229544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01409786,"threshold_uncertainty_score":0.2037632,"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."}}