{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004557533,0.0001336641,0.0001643593,0.00004946818,0.00004460827,0.00002507053,0.00009490641,0.0001049648,0.0005537961],"category_scores_gemma":[0.00006231138,0.0001225573,0.00004464754,0.0001387423,0.0000353382,0.0002161325,0.00002753883,0.0001612864,0.00001796434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002897914,"about_ca_system_score_gemma":0.00002557298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004617415,"about_ca_topic_score_gemma":0.00004407405,"domain_scores_codex":[0.9991522,0.000006413802,0.0002521389,0.0002487611,0.0001747906,0.0001657308],"domain_scores_gemma":[0.9994791,0.0000675474,0.0001276682,0.000211537,0.00005066947,0.00006346546],"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":[0.00001590696,0.00004354172,0.0008891184,0.0001339058,0.00004232621,0.00000703277,0.0001589201,0.00004208073,0.9974333,0.0005625623,0.00002469309,0.0006466027],"study_design_scores_gemma":[0.0006251046,0.00001004509,0.01003757,0.0001190935,0.00003022765,0.00002541568,0.0001690086,0.00007944075,0.9857999,0.002932975,0.00002542104,0.0001458043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911706,0.002479367,0.00002904314,0.0001048627,0.00007924766,0.00005387171,0.0000114601,0.0001122432,0.005959237],"genre_scores_gemma":[0.9985153,0.00004572175,0.001105341,0.00001525632,0.00009110435,0.000002433837,0.00001408421,0.00001568972,0.0001950841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01163342,"threshold_uncertainty_score":0.6063678,"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."}}