{"id":"W4282836501","doi":"10.3389/frfst.2022.889360","title":"Probing Prolamin-Anthocyanin Interactions for the Rational Design of Plant-Based Encapsulation Systems","year":2022,"lang":"en","type":"article","venue":"Frontiers in Food Science and Technology","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Prolamin; Chemistry; Quenching (fluorescence); Biophysics; Fluorescence; Storage protein; Biochemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001314995,0.00006882643,0.0001259031,0.0001466505,0.0006678556,0.00003317557,0.0004531837,0.00004128432,0.000003934282],"category_scores_gemma":[0.0001771926,0.00002971304,0.00001676217,0.001174582,0.0003548136,0.0001185098,0.00009874565,0.0001307618,1.441478e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009590274,"about_ca_system_score_gemma":0.00007844161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002132723,"about_ca_topic_score_gemma":0.00003226924,"domain_scores_codex":[0.9990051,0.00006548037,0.0002197399,0.0002458748,0.0002699702,0.0001938816],"domain_scores_gemma":[0.9995021,0.0001562431,0.0001501426,0.00007167241,0.0001039724,0.00001585315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001855553,0.0001876309,0.01063067,0.0000375753,0.00003233054,0.000001564955,0.0003430035,0.01316641,0.887566,0.0248725,0.002111346,0.06086538],"study_design_scores_gemma":[0.001157639,0.005508058,0.004801188,0.000106092,0.00003058508,0.0001053557,0.02113325,0.8425865,0.07708826,0.01013048,0.03678092,0.0005717234],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9430773,0.001751204,0.04393159,0.004239509,0.002041582,0.004547879,0.0002247051,0.0001246683,0.00006161795],"genre_scores_gemma":[0.9978185,0.000002836684,0.001188424,0.00001760292,0.00002270347,0.0009246459,0.000008504116,6.930185e-7,0.00001607693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.82942,"threshold_uncertainty_score":0.5136673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03292591221460659,"score_gpt":0.2261548336104188,"score_spread":0.1932289213958122,"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."}}