{"id":"W7140452313","doi":"10.1333/s00897182799a","title":"A Colorimetric Approach to Vitamin C Analysis","year":2018,"lang":"en","type":"article","venue":"The Chemical Educator","topic":"Vitamin C and Antioxidants Research","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Ascorbic acid; Vitamin C; Titration; Colorimetry; Colorimetric analysis","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":[0.001242646,0.001346518,0.000776784,0.00437873,0.001181617,0.001602365,0.001928496,0.001767292,0.004329537],"category_scores_gemma":[0.001765324,0.0008576947,0.0009019205,0.001635532,0.001161825,0.0007566517,0.001507303,0.003711969,0.002984907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000551469,"about_ca_system_score_gemma":0.001195317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001126439,"about_ca_topic_score_gemma":0.002300919,"domain_scores_codex":[0.9966128,0.0006722009,0.0001691005,0.0006130746,0.001818699,0.0001141006],"domain_scores_gemma":[0.9988161,0.0002636232,0.00009915933,0.0001982753,0.0005120352,0.0001108681],"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":[0.0001023341,0.0001258614,0.0005544639,0.0006344093,0.0000748965,0.0001939824,0.0001229493,0.0002575212,0.9443225,0.004129855,0.002620361,0.04686091],"study_design_scores_gemma":[0.00004204107,0.0006313038,0.002333898,0.0001310121,0.0000918658,0.002874108,0.0001464026,0.002347981,0.8942278,0.004028581,0.09297302,0.0001720683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02317138,0.02340556,0.9200817,0.0009088095,0.003265332,0.001036808,0.001418863,0.003580444,0.02313102],"genre_scores_gemma":[0.1352379,0.02251701,0.8003656,0.001080542,0.0005673097,0.001397648,0.001191158,0.0002984611,0.03734447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00437873,"threshold_uncertainty_score":0.01448375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02354582956324911,"score_gpt":0.3279927915892421,"score_spread":0.304446962025993,"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."}}