{"id":"W2957781988","doi":"10.1016/j.ijbiomac.2019.07.059","title":"Conjugation of vitamin C with serum proteins: A potential application for vitamin delivery","year":2019,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Protein Interaction Studies and Fluorescence Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bovine serum albumin; Chemistry; Bioavailability; Ascorbic acid; Serum albumin; Vitamin C; Vitamin; Human serum albumin; Biochemistry; Drug delivery; Drug; Albumin; In vitro; Chromatography; Pharmacology; Biology; Organic chemistry; Food science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001802964,0.0001065795,0.0001917563,0.00007792345,0.00002558714,0.0000174181,0.0002762047,0.000089512,0.00002373982],"category_scores_gemma":[0.00007763286,0.00007352172,0.0001839461,0.00005586935,0.00007563633,0.00001288198,0.00006451075,0.00006724132,0.000004309319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002031386,"about_ca_system_score_gemma":0.00003999248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001050136,"about_ca_topic_score_gemma":0.000004366899,"domain_scores_codex":[0.9990879,0.00003899759,0.0003759294,0.0001770085,0.0002140952,0.0001061153],"domain_scores_gemma":[0.9984188,0.00002394052,0.000500593,0.000103754,0.0009190692,0.00003383471],"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":[0.001212532,0.0001111775,0.006008103,0.00001003505,0.000379164,0.000004541298,0.00001180573,0.0001665629,0.9841521,0.0002082199,0.00006320724,0.007672593],"study_design_scores_gemma":[0.002053554,0.002865482,0.0102964,0.00009604902,0.00006173538,0.0001346234,0.0003549661,0.0004915047,0.9790692,0.0002892145,0.004076669,0.0002105665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9129325,0.0001319902,0.0860686,0.0003406077,0.0001321887,0.0002767945,0.00005141869,0.000002827594,0.00006311129],"genre_scores_gemma":[0.9952275,0.0001982963,0.004106037,0.0001419344,0.0001887374,0.0000283724,0.00005850957,0.000007347032,0.00004324822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08229505,"threshold_uncertainty_score":0.2998129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006335465746191944,"score_gpt":0.248378530519551,"score_spread":0.242043064773359,"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."}}