{"id":"W4362734940","doi":"10.1016/j.ijbiomac.2023.124380","title":"Characteristics and potential application of myofibrillar protein from golden threadfin bream (Nemipterus virgatus) complexed with chitosan","year":2023,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences; National Key Research and Development Program of China; Chinese Academy of Fishery Sciences; Department of Education, Fujian Province; Seed Industry Innovation and Industrialization Engineering Project of Fujian Province; Natural Science Foundation of Fujian Province","keywords":"Myofibril; Random coil; Chemistry; Emulsion; Chitosan; Thermal stability; Polysaccharide; Phase (matter); Turbidity; Nuclear chemistry; Chemical engineering; Protein secondary structure; Organic chemistry; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001309263,0.0002284076,0.0001262129,0.0002325469,0.0001974021,0.000225174,0.0001488892,0.000324412,0.0005837943],"category_scores_gemma":[0.0001593503,0.00009320297,0.0001855736,0.0001659888,0.0001632348,0.0001569069,0.0001431157,0.0001848714,0.000079252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000196074,"about_ca_system_score_gemma":0.000153812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002068419,"about_ca_topic_score_gemma":0.00345881,"domain_scores_codex":[0.9999293,0.000008840983,0.000005388642,0.00001752991,0.00002286154,0.00001604128],"domain_scores_gemma":[0.9999019,0.00001458226,0.00002737586,0.00000448941,0.00002800855,0.00002360438],"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":[0.00003107126,0.000005200717,0.0002108911,0.00001679432,0.00000224285,0.0000244613,0.000007923872,0.00002259226,0.9993648,0.000009698924,0.000005109829,0.0002991672],"study_design_scores_gemma":[0.000006298843,0.0003273908,0.01505997,0.000005694738,0.00002693006,0.0001905437,0.00005798322,0.0006777965,0.9826701,0.0000129525,0.000956232,0.000007977427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987193,0.0003460396,0.0005295494,0.00003233306,0.000005567014,0.00000679309,0.00003221156,0.00000495995,0.0003231915],"genre_scores_gemma":[0.9977683,0.0001945253,0.0008082885,0.00002599068,0.00000266789,0.000005217267,0.00007319736,0.000004090412,0.001117792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002068419,"threshold_uncertainty_score":0.00411272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01651031517858602,"score_gpt":0.2328302739814573,"score_spread":0.2163199588028712,"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."}}