{"id":"W2945691926","doi":"10.1002/cche.10169","title":"Effects of enzymatic hydrolysis and ultrafiltration on physicochemical and functional properties of faba bean protein","year":2019,"lang":"en","type":"article","venue":"Cereal Chemistry","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"Alberta Innovates Bio Solutions; Natural Sciences and Engineering Research Council of Canada; Saskatchewan Health Research Foundation","keywords":"Chemistry; Ultrafiltration (renal); Solubility; Hydrolysis; Chromatography; Hydrolysate; Enzymatic hydrolysis; Pepsin; Enzyme; Biochemistry; Organic 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":[0.00005848177,0.00008731595,0.0001678931,0.000002970309,0.00002330666,0.000009161264,0.00005318801,0.0000730234,0.00002408725],"category_scores_gemma":[0.00003880373,0.00003632104,0.0000331665,0.00005108498,0.00007303065,0.00004123662,0.00002343751,0.00006242114,0.0000019589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009137002,"about_ca_system_score_gemma":0.000004506235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003523302,"about_ca_topic_score_gemma":0.000001141867,"domain_scores_codex":[0.9994318,0.00001810435,0.0001465247,0.0001669434,0.0001553094,0.00008134833],"domain_scores_gemma":[0.9997416,0.00005378689,0.00009780461,0.00004275074,0.00002940389,0.00003463658],"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":[0.00004453922,0.00005581996,0.000530702,0.0006770761,0.00001427503,1.176819e-7,0.00004072319,8.165638e-7,0.9973767,0.00001567215,0.000008200267,0.001235389],"study_design_scores_gemma":[0.0001499422,0.0001226619,0.006256964,0.0001998304,0.000008920948,0.000002703755,0.00006165425,0.00004770857,0.9930068,0.00006152943,0.00001044089,0.0000708772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987485,0.0001616522,2.83295e-7,0.00004164196,0.0000091388,0.0002851786,0.000005046308,0.00001280045,0.0007357295],"genre_scores_gemma":[0.9997267,0.000002875527,0.000005412453,0.000005782423,0.00006385117,0.00002934043,0.00001178471,7.933006e-7,0.0001534356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005726262,"threshold_uncertainty_score":0.1481129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009010985826203733,"score_gpt":0.163889516871119,"score_spread":0.1548785310449153,"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."}}