{"id":"W4205840757","doi":"10.21065/19257430.2.184","title":"THE EFFECT OF ASCORBIC ACID ON GLUCOSE URINE ASSAY BY COPPER SULPHATE REDUCING SYSTEM AND HEXOKINASE METHOD.","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Applied Sciences","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urine; Ascorbic acid; Glycosuria; Chemistry; Hexokinase; Blood glucose monitoring; Chromatography; Medicine; Biochemistry; Endocrinology; Diabetes mellitus; Food science; Glycolysis; Metabolism","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00306325,0.00008998637,0.000146392,0.00006123439,0.0002102602,0.00003656202,0.0003480444,0.00007651422,0.000006987673],"category_scores_gemma":[0.0002287841,0.00005044863,0.00004441203,0.000152286,0.0006351113,0.000005053543,0.00003305295,0.0001569734,7.329305e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004399159,"about_ca_system_score_gemma":0.0001960983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001236281,"about_ca_topic_score_gemma":0.00003198495,"domain_scores_codex":[0.9989757,0.00008969174,0.0001962129,0.00012771,0.0002584382,0.000352269],"domain_scores_gemma":[0.9991149,0.0001337913,0.0001150912,0.0001206733,0.00003745518,0.0004781446],"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":[0.00007922651,0.00000531788,0.000351309,0.00001986621,0.00001610591,0.000002168225,0.00001854959,8.452792e-7,0.9853756,0.0004754267,0.005101462,0.00855412],"study_design_scores_gemma":[0.0001556958,0.0006889671,0.00005990274,0.00004072912,0.000008782652,0.00003943429,0.00007741513,0.000009753057,0.9875325,0.00003419853,0.01129489,0.00005771608],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897308,0.004337627,0.0003366733,0.0002404482,0.0001263659,0.0001082862,0.000008218142,0.000002227596,0.005109313],"genre_scores_gemma":[0.9988963,0.0001069531,0.0007702346,0.00005055485,0.0001267293,0.000005290354,0.000001492334,0.000005206897,0.00003726746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00916543,"threshold_uncertainty_score":0.2340094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007663934507426778,"score_gpt":0.2985885805586305,"score_spread":0.2909246460512037,"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."}}