{"id":"W2157106799","doi":"10.1111/j.1750-3841.2007.00390.x","title":"Rheological Properties of Myosin–Gelatin Mixtures","year":2007,"lang":"en","type":"article","venue":"Journal of Food Science","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"Natural Science Foundation of Jiangsu Province","keywords":"Gelatin; Rheology; Myosin; Denaturation (fissile materials); Chemistry; Ionic strength; Ionic bonding; Materials science; Biochemistry; Composite material; Nuclear chemistry; Organic chemistry","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":[0.0002435714,0.0003112621,0.0002326678,0.0002923501,0.0001601353,0.0003105451,0.0001308479,0.000186132,0.001171002],"category_scores_gemma":[0.0004455386,0.0001371363,0.0001348988,0.0002288686,0.0002102366,0.0004427202,0.0001607724,0.0005266194,0.0001978032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001509393,"about_ca_system_score_gemma":0.00009125003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004271171,"about_ca_topic_score_gemma":0.0003053815,"domain_scores_codex":[0.9998789,0.00001912882,0.000009659686,0.00003304282,0.00003423112,0.00002500932],"domain_scores_gemma":[0.9998631,0.00003579313,0.00003488356,0.00000802367,0.00003290303,0.00002519544],"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":[0.0001037286,0.000009771016,0.0004616279,0.00002364452,0.000006484532,0.00002298103,0.00002314809,0.00007262563,0.9979183,0.00002531619,0.00001400075,0.001318227],"study_design_scores_gemma":[0.00001500098,0.0003899786,0.02246715,0.00001688099,0.00003208049,0.0002093092,0.00008574107,0.002601538,0.9723608,0.00006396326,0.001741079,0.0000165946],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902968,0.001910093,0.005961179,0.00005124824,0.00002956591,0.00004085971,0.0002042352,0.0000516762,0.001454374],"genre_scores_gemma":[0.9950988,0.0006354921,0.002727786,0.00004489814,0.00001008281,0.00004969326,0.000264315,0.00002297998,0.001146073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001171002,"threshold_uncertainty_score":0.003917336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04961341521372893,"score_gpt":0.2440953804942933,"score_spread":0.1944819652805644,"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."}}