{"id":"W4393997496","doi":"10.1021/acs.jafc.4c01385","title":"Self-Assembled Food Peptides: Recent Advances and Perspectives in Food and Health Applications","year":2024,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Biocompatible material; Nutraceutical; Nanotechnology; Food protein; Chemistry; Materials science; Biochemistry; Medicine; Biomedical engineering","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":[0.0003512804,0.0001758857,0.0003119956,0.0000361585,0.00009502158,0.0002755738,0.0001161741,0.0000756147,0.00001256468],"category_scores_gemma":[0.00002152732,0.0001116875,0.00004056717,0.0001638274,0.00003200667,0.0003454777,0.00006776738,0.0001622752,0.00000100773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001017192,"about_ca_system_score_gemma":0.00007102155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001598825,"about_ca_topic_score_gemma":0.00001049551,"domain_scores_codex":[0.9988584,0.00004134321,0.0004166713,0.000275573,0.0001959046,0.0002121041],"domain_scores_gemma":[0.9993867,0.00005750802,0.000210126,0.00007613935,0.0001141663,0.0001553951],"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":[0.0000122962,0.00007782631,0.0001182658,0.0008099526,0.00005498537,0.000003244067,0.001360793,0.0000032637,0.9959294,0.0001977006,0.00008578134,0.0013465],"study_design_scores_gemma":[0.0009751603,0.001496042,0.0123077,0.000544982,0.00007265194,0.001838206,0.01533943,0.000005680315,0.9589792,0.001731816,0.006272085,0.0004370561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.912561,0.08539797,0.00001975827,0.00158411,0.0000850049,0.0001791153,0.00001313299,0.00003486406,0.0001250705],"genre_scores_gemma":[0.9813969,0.01667097,0.001632015,0.00002655809,0.000228778,0.00002759215,0.000001875049,0.000008487388,0.000006817563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06883594,"threshold_uncertainty_score":0.4554485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732479043450231,"score_gpt":0.2639172307855522,"score_spread":0.2465924403510499,"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."}}