{"id":"W2343369316","doi":"10.1021/acs.jafc.5b03641","title":"<i>In Situ</i> Determination of Fructose Isomer Concentrations in Wine Using <sup>13</sup>C Quantitative Nuclear Magnetic Resonance Spectroscopy","year":2015,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wine; Fructose; Chemistry; Sweetness; Nuclear magnetic resonance spectroscopy; Sugar; Spectroscopy; Fermentation; Chromatography; Analytical Chemistry (journal); Food science; Organic chemistry","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":[0.0001076174,0.00009276915,0.0002088997,0.00001325843,0.00003521945,0.00002615289,0.00008167186,0.00005745579,0.00005840691],"category_scores_gemma":[0.00004302963,0.00003780963,0.00006219751,0.0003044935,0.00005570605,0.0002543473,0.00001497071,0.000122788,6.679529e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004349817,"about_ca_system_score_gemma":0.000009122171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002841016,"about_ca_topic_score_gemma":0.0000715584,"domain_scores_codex":[0.9991854,0.00004211556,0.0003771119,0.0001058277,0.0001744361,0.000115042],"domain_scores_gemma":[0.9994937,0.00004628867,0.0002157346,0.00001871809,0.0001469476,0.000078604],"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":[0.0000483252,0.00008246704,0.003189056,0.000008899384,0.000005001308,0.000004574021,0.0007164498,0.0001268045,0.9953626,0.00001634041,0.0000722633,0.0003672653],"study_design_scores_gemma":[0.002133559,0.001587439,0.4041772,0.0002432134,0.00008997334,0.0002532032,0.03474829,0.001870676,0.5533533,0.000542863,0.0005847084,0.000415616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983678,0.0006683428,9.568789e-7,0.0006312337,0.00001580482,0.00004349384,0.00001021311,0.000002386481,0.0002597255],"genre_scores_gemma":[0.999111,0.0000978703,0.0005782219,0.00004886114,0.00009085018,4.292361e-7,0.000006728515,5.588916e-7,0.00006548163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4420093,"threshold_uncertainty_score":0.1541832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394456969354054,"score_gpt":0.2432079970230908,"score_spread":0.2192634273295503,"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."}}