{"id":"W2375575683","doi":"","title":"Extraction of Polyphenol from Lotus Roots and Its Enzymatic Browning Substrate","year":2004,"lang":"en","type":"article","venue":"","topic":"Chromatography in Natural Products","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Gallic acid; Chemistry; Catechol; Browning; Catechin; Lotus; Polyphenol; Substrate (aquarium); Extraction (chemistry); Chromatography; Lotus effect; Enzyme; High-performance liquid chromatography; Food science; Botany; Biochemistry; Organic chemistry; Antioxidant; Raw material","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":[0.0001371312,0.0007524366,0.0004149375,0.0006371068,0.0003211838,0.0001963146,0.000182896,0.0002263571,0.001037993],"category_scores_gemma":[0.0001412704,0.0002314895,0.0002789741,0.0004963228,0.0002557566,0.0002711567,0.0002090692,0.0004532922,0.0005809236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002821239,"about_ca_system_score_gemma":0.0003967565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002412481,"about_ca_topic_score_gemma":0.004935104,"domain_scores_codex":[0.9999163,0.0000107606,0.000005820998,0.00002408796,0.00001823421,0.00002479348],"domain_scores_gemma":[0.9998937,0.00002691018,0.00001445986,0.00001188816,0.00002278492,0.00003029574],"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":[0.00007581781,0.00001342076,0.0003196792,0.00005681232,0.000005553811,0.00006626899,0.00002100974,0.00002184471,0.9978551,0.00002396108,0.0000271553,0.001513421],"study_design_scores_gemma":[0.00005416612,0.0005000714,0.04103748,0.00002674394,0.00008504859,0.0006540337,0.00008618293,0.00067448,0.9501793,0.0001030367,0.006573089,0.00002639579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853935,0.002759105,0.008066713,0.0001152322,0.00002996928,0.0001500449,0.001148377,0.0001354805,0.002201457],"genre_scores_gemma":[0.9553792,0.002885222,0.02256898,0.0002363227,0.00007264793,0.0003456712,0.00739029,0.00009494488,0.01102677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002412481,"threshold_uncertainty_score":0.004796922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317057236583454,"score_gpt":0.2402278124659918,"score_spread":0.2270572401001572,"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."}}