{"id":"W4403539986","doi":"10.1016/j.foodhyd.2024.110749","title":"Recent progress of plant protein-based amyloid-like nanofibrils","year":2024,"lang":"en","type":"article","venue":"Food Hydrocolloids","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Key Research and Development Program of China; South China Agricultural University","keywords":"Amyloid fibril; Amyloid (mycology); Chemistry; Nanotechnology; Computational biology; Amyloid β; Biology; Materials science; Medicine; Disease; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004048806,0.0002477111,0.0003352668,0.00004188075,0.0001191111,0.0001149836,0.0004465369,0.000179702,0.0002450543],"category_scores_gemma":[0.00002424184,0.00009797635,0.0001800731,0.0007386648,0.0001193026,0.0001084403,0.00009063112,0.0001446746,0.000121085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007282117,"about_ca_system_score_gemma":0.00006460505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003343058,"about_ca_topic_score_gemma":0.0001411335,"domain_scores_codex":[0.9979501,0.0001222726,0.0004673351,0.0004952959,0.0005377943,0.0004271747],"domain_scores_gemma":[0.9994373,0.00008712273,0.0001200488,0.0001463672,0.0000757489,0.0001334052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001309584,0.0002123457,0.0003851918,0.0003036668,0.0001054273,0.00002475765,0.00009885764,0.00001338253,0.8937754,0.0009202365,0.002478563,0.1015512],"study_design_scores_gemma":[0.000190524,0.002518367,0.0003329327,0.0005172977,0.00001767886,0.00001348696,0.00004771294,0.0005090485,0.3578735,0.0003004077,0.6373597,0.0003193512],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876829,0.004779909,0.000006250486,0.001170181,0.0005668384,0.002909899,0.000491157,0.0004148539,0.001977975],"genre_scores_gemma":[0.9979592,0.00001499464,0.0001380329,0.00005886494,0.0003268131,0.0007728374,0.00008852705,0.000004347089,0.0006363998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6348811,"threshold_uncertainty_score":0.399536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02360846115746664,"score_gpt":0.2305508552354059,"score_spread":0.2069423940779392,"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."}}