{"id":"W3009237862","doi":"10.1016/j.foodchem.2020.126508","title":"Fluorescence spectroscopy and molecular modeling of anthocyanins binding to bovine lactoferrin peptides","year":2020,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Infant Nutrition and Health","field":"Nursing","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Race and Difference Initiative, Emory University; Ministerul Cercetării şi Inovării; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Ontario Ministry of Research, Innovation and Science","keywords":"Chemistry; Lactoferrin; Quenching (fluorescence); In silico; Biochemistry; Binding affinities; Fluorescence spectroscopy; Fluorescence; Hydrogen bond; Docking (animal); Stereochemistry; Molecule; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005306595,0.0001147823,0.0001893564,0.00002174476,0.00006230735,0.00001973245,0.000104075,0.00006630844,0.00003873067],"category_scores_gemma":[0.0000689745,0.0001292606,0.00003825372,0.0001418371,0.00002482778,0.00004208918,0.00004814215,0.0001622726,0.000005874736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003548514,"about_ca_system_score_gemma":0.0000218179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001065296,"about_ca_topic_score_gemma":0.000001053536,"domain_scores_codex":[0.9991663,0.00001031024,0.0002106155,0.0002408531,0.0001469762,0.0002249421],"domain_scores_gemma":[0.9995579,0.00001259613,0.00005323779,0.0001287455,0.00004099688,0.0002065347],"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":[0.0001874256,0.00002276363,0.0002292356,0.0004561493,0.000006455839,0.000004153654,0.0005031189,0.00005102466,0.9980774,0.00003206529,0.0003810563,0.00004917579],"study_design_scores_gemma":[0.0003685238,0.0002751343,0.00001386974,0.0001469693,0.00001116582,0.000006653941,0.0002997982,0.008946801,0.9895009,0.00004054649,0.0002578384,0.0001317328],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941792,0.0001555747,0.0006542117,0.003343886,0.00004607589,0.000101527,0.00004719705,0.00006430085,0.00140803],"genre_scores_gemma":[0.9927115,0.00001705145,0.006377795,0.0007017064,0.0001486576,0.000003151854,0.00001456675,0.00001945543,0.000006120855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008895775,"threshold_uncertainty_score":0.5271095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389770310385646,"score_gpt":0.2762820294029099,"score_spread":0.2523843262990534,"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."}}