{"id":"W4387709893","doi":"10.1016/j.foodhyd.2023.109437","title":"Fibrous cellulose improves the strength and water retention of heat-induced myofibrillar protein gel by microstructure enhancement","year":2023,"lang":"en","type":"article","venue":"Food Hydrocolloids","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Karen C. Drayer Wildlife Health Center; Nature Conservancy of Canada; National Natural Science Foundation of China","keywords":"Cellulose; Microcrystalline cellulose; Microstructure; Materials science; Chemical engineering; Rheology; Composite material; Polymer","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001571126,0.0003305754,0.0001598801,0.0001731666,0.0001038395,0.0001386312,0.0001040218,0.0002250998,0.0007269297],"category_scores_gemma":[0.0001206697,0.0001112452,0.0002207143,0.0001043235,0.000135542,0.0002623123,0.0001674224,0.0003086222,0.0001187456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001728003,"about_ca_system_score_gemma":0.0001384584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004994629,"about_ca_topic_score_gemma":0.001278748,"domain_scores_codex":[0.9999268,0.00000831178,0.00000605172,0.00001594356,0.00002105597,0.00002173082],"domain_scores_gemma":[0.9998889,0.00001437507,0.00004351837,0.000006199519,0.00002003121,0.00002703947],"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":[0.00002183189,0.000005662358,0.00002579653,0.00001365116,0.000001603822,0.00000920488,0.000003373596,0.00001325438,0.9994755,0.0000127,0.000007398989,0.0004100603],"study_design_scores_gemma":[0.000002513791,0.00003912141,0.0008638637,0.000001494585,0.000004995182,0.00002053311,0.000003004373,0.000188544,0.9986584,0.000005628545,0.0002099144,0.000001947055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931456,0.001218424,0.004291886,0.00006471833,0.00003938722,0.00001363796,0.00008194985,0.00005947821,0.001084806],"genre_scores_gemma":[0.9953603,0.0005041213,0.002335695,0.00004963332,0.00001306433,0.00001120582,0.00007378267,0.00002153627,0.001630666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007269297,"threshold_uncertainty_score":0.00243187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006947082644713746,"score_gpt":0.2183375308879227,"score_spread":0.211390448243209,"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."}}