{"id":"W3177511007","doi":"10.1016/j.foodres.2021.110593","title":"Structural and functional modifications of myofibrillar protein by natural phenolic compounds and their application in pork meatball","year":2021,"lang":"en","type":"article","venue":"Food Research International","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":130,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of British Columbia","funders":"National Key Research and Development Program of China; Key Technologies Research and Development Program; Sichuan Province Science and Technology Support Program; National Natural Science Foundation of China","keywords":"Chemistry; Gallic acid; Lipid oxidation; Antioxidant; Solubility; Polyphenol; Organic chemistry; Tannic acid; Quercetin; Thermal stability; Food science","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":[0.0002580322,0.0002366851,0.0001461097,0.0001965905,0.0001787476,0.0001744084,0.0001198572,0.0002386222,0.0008047351],"category_scores_gemma":[0.0001406845,0.0001409535,0.0003320261,0.0001513668,0.0002597534,0.0001868249,0.0001126756,0.0002049926,0.00009655048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001737626,"about_ca_system_score_gemma":0.0001233563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007997432,"about_ca_topic_score_gemma":0.001026508,"domain_scores_codex":[0.9999096,0.00002524457,0.000004158176,0.000025336,0.000009631724,0.00002597091],"domain_scores_gemma":[0.9999073,0.0000189888,0.00002272061,0.000008533263,0.00001784412,0.00002453811],"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":[0.001088097,0.00006390661,0.0006688247,0.00007040476,0.00001562882,0.00003514859,0.00002698837,0.00009903734,0.9961176,0.00003058863,0.00001026123,0.001773536],"study_design_scores_gemma":[0.00003688341,0.002313927,0.03399215,0.00001041691,0.00006942124,0.0001603695,0.0001110572,0.0006472404,0.9615199,0.00004668658,0.001079497,0.00001246695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980861,0.001156551,0.0004170292,0.00001936964,0.000007038513,0.000008482733,0.00005435304,0.000004246772,0.0002469281],"genre_scores_gemma":[0.9976278,0.0006849513,0.0007245354,0.00002047146,0.000006815857,0.000008248925,0.00008025028,0.000003125796,0.0008439021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008047351,"threshold_uncertainty_score":0.002692044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09589498756201748,"score_gpt":0.3140076620550516,"score_spread":0.2181126744930341,"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."}}