{"id":"W2554430558","doi":"10.1016/j.seppur.2016.11.050","title":"Analysis of protein enrichment during single- and multi-stage tribo-electrostatic bioseparation processes for dry fractionation of legume flour","year":2016,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Waterloo","funders":"Agricultural Adaptation Council; Natural Sciences and Engineering Research Council of Canada; Mitacs; Ontario Centres of Excellence","keywords":"Laminar flow; Electric field; Fractionation; Materials science; Chemistry; Chromatography; Analytical Chemistry (journal); Mechanics; Physics","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":[0.0001627598,0.0002926306,0.0002292027,0.00016129,0.000233733,0.0003687294,0.0001832082,0.0002142155,0.0004319894],"category_scores_gemma":[0.0002183678,0.0001012791,0.0002232507,0.0002182387,0.0001778536,0.0003003831,0.0001504001,0.0003198811,0.000165141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002163643,"about_ca_system_score_gemma":0.0001862952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001076079,"about_ca_topic_score_gemma":0.001395439,"domain_scores_codex":[0.9998962,0.00001159594,0.00000462047,0.00002289617,0.00003213463,0.00003252078],"domain_scores_gemma":[0.9999121,0.00002550594,0.0000163908,0.000005536494,0.00002408189,0.00001626559],"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":[0.00008558944,0.00001317566,0.0002052403,0.00001582729,0.000003634324,0.00001384304,0.00001773784,0.00002702397,0.9986554,0.0000150374,0.000008059657,0.000939241],"study_design_scores_gemma":[0.00000376679,0.00009981619,0.007232423,0.000002274751,0.00001600783,0.00005183781,0.0000280738,0.0008042696,0.9914017,0.0000127804,0.0003420226,0.000004939335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996077,0.0005570528,0.002926681,0.00002007238,0.000008484572,0.00001130114,0.0001058926,0.00001526052,0.0002783132],"genre_scores_gemma":[0.9957321,0.0005557827,0.002344716,0.00003271105,0.000005320695,0.00001824405,0.000309089,0.00001918506,0.0009828393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001076079,"threshold_uncertainty_score":0.002139688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03767520569910288,"score_gpt":0.2927911879073457,"score_spread":0.2551159822082428,"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."}}