{"id":"W3049417057","doi":"10.1016/j.carbpol.2020.116925","title":"Field pea protein isolate/chitosan complex coacervates: Formation and characterization","year":2020,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Department of Science and Technology of Sichuan Province; Wuhan Science and Technology Project; China Scholarship Council","keywords":"Coacervate; Chitosan; Chemistry; Stoichiometry; Microstructure; Complex formation; Chemical engineering; Turbidity; Colloid; Chromatography; Crystallography; Physical chemistry; Organic chemistry; Inorganic 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":[0.00005304816,0.0001357729,0.0001566112,0.000009806684,0.0001511955,0.00009250437,0.0001478757,0.00008765415,0.0001163365],"category_scores_gemma":[0.0000215508,0.00006351014,0.00003891197,0.000222238,0.00003240965,0.0003381885,0.00006471622,0.00009087484,0.00001850539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008346183,"about_ca_system_score_gemma":0.000004377588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001326926,"about_ca_topic_score_gemma":0.00002294859,"domain_scores_codex":[0.9991314,0.00007952992,0.0002244084,0.0002259515,0.0001352853,0.0002033699],"domain_scores_gemma":[0.9996511,0.00002489691,0.0001229484,0.00004489613,0.00001831367,0.0001377886],"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":[0.00002998428,0.000006772133,0.0001570427,0.00001970085,0.00000668211,0.000001420419,0.0003520738,6.63265e-7,0.9813894,0.0001060787,0.00002573438,0.01790444],"study_design_scores_gemma":[0.0004132702,0.001247842,0.006890311,0.00008468061,0.00002289086,0.000008144233,0.001176486,0.02118718,0.9583415,0.0001237905,0.009873571,0.0006302819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895186,0.0001048102,0.0001152708,0.008188121,0.00007273436,0.0005215732,0.00004090315,0.0001237682,0.001314176],"genre_scores_gemma":[0.9981229,0.00001433931,0.00001562297,0.001365302,0.0002350504,0.00004258705,0.0001729365,0.000001736793,0.00002952279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02304785,"threshold_uncertainty_score":0.2589868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03618659905617724,"score_gpt":0.2148387605459232,"score_spread":0.1786521614897459,"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."}}