{"id":"W4303958894","doi":"10.3390/molecules27196676","title":"Identification and Quantification of Anthocyanin and Catechin Compounds in Purple Tea Leaves and Flakes","year":2022,"lang":"en","type":"article","venue":"Molecules","topic":"Tea Polyphenols and Effects","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Anthocyanin; Catechin; Chemistry; Delphinidin; Food science; Camellia sinensis; Cyanidin; Polyphenol; Proanthocyanidin; Green tea; Pigment; Botany; Biochemistry; Organic chemistry; Antioxidant; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002186007,0.000470929,0.0001829883,0.000542962,0.000265811,0.0004092941,0.0001351436,0.000500787,0.0009673293],"category_scores_gemma":[0.000200522,0.000179269,0.0003736626,0.000319636,0.0001238976,0.0003386022,0.0002483272,0.0002870691,0.0003821197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001600694,"about_ca_system_score_gemma":0.0001518147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008629403,"about_ca_topic_score_gemma":0.001401596,"domain_scores_codex":[0.9998537,0.00002147899,0.000008640546,0.00005222837,0.00004203806,0.00002187302],"domain_scores_gemma":[0.9999319,0.00001024176,0.00001688769,0.00000977724,0.0000230236,0.000008154456],"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":[0.00002630558,0.000006233308,0.0004186588,0.00004049723,0.000009755004,0.00003561029,0.00002001545,0.00002394209,0.9971983,0.00002348586,0.00001565369,0.002181475],"study_design_scores_gemma":[0.000007412116,0.0002075852,0.02380561,0.00001279558,0.00004458068,0.0003833503,0.00007577747,0.0008585681,0.9700586,0.00008344684,0.004450252,0.0000119172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755247,0.003632321,0.01747379,0.00008502835,0.00004349322,0.00008884098,0.001082528,0.0001484824,0.001920746],"genre_scores_gemma":[0.9572408,0.001559275,0.03140628,0.0001657975,0.00001845972,0.0000952716,0.00206934,0.00007667578,0.007368084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009673293,"threshold_uncertainty_score":0.003235996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287928005952924,"score_gpt":0.2598376929951114,"score_spread":0.2469584129355822,"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."}}