{"id":"W4363625472","doi":"10.1016/j.foodhyd.2023.108765","title":"Hydrogel formation from peptides of a β-lactoglobulin tryptic hydrolysate: Contribution of self-assembling peptide β-Lg f1-8","year":2023,"lang":"en","type":"article","venue":"Food Hydrocolloids","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"PROTEO; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Peptide; Chemistry; Self-healing hydrogels; Hydrolysate; Beta-lactoglobulin; Self-assembly; Nanofiber; Self-assembling peptide; Covalent bond; Drug delivery; Chromatography; Biochemistry; Whey protein; Nanotechnology; Hydrolysis; Polymer chemistry; Organic chemistry; Materials science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00155601,0.000450887,0.00100048,0.0004725859,0.000188925,0.0001172339,0.0007199178,0.0003466511,0.000192331],"category_scores_gemma":[0.0004918162,0.0004589948,0.0003024721,0.001184508,0.0001035079,0.0007407824,0.0003000665,0.0001645579,0.0006069014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002205422,"about_ca_system_score_gemma":0.0001868318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002468033,"about_ca_topic_score_gemma":0.00006296683,"domain_scores_codex":[0.995628,0.0003482565,0.001584859,0.0006332053,0.001031241,0.0007744628],"domain_scores_gemma":[0.997128,0.0004646446,0.00103208,0.0008440994,0.0003516584,0.0001795295],"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":[0.0001766765,0.0001784452,0.0006043803,0.0001738308,0.0001090232,0.0000105412,0.001069044,0.001581895,0.9952167,0.0005781206,0.000243463,0.00005791841],"study_design_scores_gemma":[0.001861832,0.0006236136,0.001022626,0.0002302487,0.0001865769,0.000009716717,0.0003458227,0.01160571,0.9783667,0.004976136,0.0003432502,0.0004278198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950595,0.000128798,0.001490209,0.00008690243,0.0006896714,0.001242335,0.000245852,0.0006967984,0.0003599201],"genre_scores_gemma":[0.9961003,0.00004216055,0.003032097,0.0000473221,0.0001714635,0.0002423515,0.0002590588,0.00007774427,0.00002750118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01685001,"threshold_uncertainty_score":0.9997862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358690831213198,"score_gpt":0.2469532494182377,"score_spread":0.2333663411061057,"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."}}