{"id":"W4308306241","doi":"10.1016/j.tifs.2022.10.016","title":"Novel Extraction technologies for developing plant protein ingredients with improved functionality","year":2022,"lang":"en","type":"article","venue":"Trends in Food Science & Technology","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":154,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Extraction (chemistry); Protein purification; Biochemical engineering; Process engineering; Computer science; Biotechnology; Chromatography; Engineering; Chemistry; 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":[0.0004815703,0.000797984,0.0003743584,0.0004297708,0.0002651671,0.0006072038,0.000408406,0.0008183838,0.001736673],"category_scores_gemma":[0.0003047103,0.0003530927,0.000605076,0.0004397138,0.0003496889,0.00143725,0.000637327,0.001544329,0.001248135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003221685,"about_ca_system_score_gemma":0.0002274186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001623921,"about_ca_topic_score_gemma":0.0004214732,"domain_scores_codex":[0.9997689,0.00003085388,0.00001662989,0.00006325783,0.00008422622,0.00003603474],"domain_scores_gemma":[0.9998798,0.00003237539,0.00003542372,0.00001106115,0.00002910915,0.00001227],"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":[0.0000244266,0.00002144473,0.00004814856,0.0001986102,0.000007735498,0.00004795521,0.00002961838,0.00008228418,0.9911351,0.0004915768,0.0001268892,0.007786198],"study_design_scores_gemma":[0.00001085945,0.0001254997,0.000347922,0.00002701809,0.00002149369,0.0001802328,0.00002561376,0.0009097223,0.9868335,0.0003654006,0.01114234,0.00001033748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3960976,0.02741424,0.5578648,0.001685267,0.000541024,0.0005947499,0.001089933,0.0009375353,0.01377488],"genre_scores_gemma":[0.6603998,0.02259341,0.2933336,0.001268901,0.0001933741,0.0005320758,0.002288385,0.0002590799,0.01913136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001736673,"threshold_uncertainty_score":0.005809724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05500441054792181,"score_gpt":0.2723147740759251,"score_spread":0.2173103635280033,"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."}}