{"id":"W2016645059","doi":"10.1159/000314597","title":"Vitamin C Transporter Gene Polymorphisms, Dietary Vitamin C and Serum Ascorbic Acid","year":2009,"lang":"en","type":"article","venue":"Lifestyle Genomics","topic":"Vitamin C and Antioxidants Research","field":"Nursing","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Connaught Fund; University of Toronto; Advanced Foods and Materials Network","keywords":"Ascorbic acid; Vitamin C; Genotype; Vitamin; Internal medicine; Biology; Endocrinology; Polymorphism (computer science); Biochemistry; Gene; Medicine; Food science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003217164,0.0003555508,0.0004093933,0.0002010029,0.0003093169,0.0001221113,0.0003347029,0.0002218785,0.00008430191],"category_scores_gemma":[0.00002313783,0.0003558253,0.0001186213,0.0002389824,0.0001605619,0.0002829033,0.00004921778,0.0003968981,0.0001405326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009461991,"about_ca_system_score_gemma":0.00004986403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004445266,"about_ca_topic_score_gemma":0.00003317659,"domain_scores_codex":[0.9976701,0.00009463439,0.0004581305,0.0006172474,0.0003353637,0.0008244838],"domain_scores_gemma":[0.9989707,0.0000584153,0.00009406817,0.0005021936,0.00004624127,0.000328423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002340666,0.0002449311,0.01491674,0.00005111449,0.00004955464,0.0001783593,0.001084117,0.00001278898,0.8457633,0.00007406796,0.001257867,0.1361331],"study_design_scores_gemma":[0.001969097,0.001092609,0.8099572,0.0000931963,0.0001206333,0.0002643887,0.0002226723,0.000609831,0.1743685,0.0006519428,0.009754316,0.0008956632],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922164,0.001449797,0.0002434259,0.004310206,0.0004732441,0.0003238107,0.0001261708,0.0001312626,0.0007256952],"genre_scores_gemma":[0.9932181,0.0004525869,0.002413309,0.002139014,0.0005632596,0.000007271425,0.00006545889,0.00006303971,0.001077958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7950404,"threshold_uncertainty_score":0.9998894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399630579486351,"score_gpt":0.2536809624850564,"score_spread":0.2396846566901929,"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."}}