{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002085856,0.00006250494,0.0001382988,0.0001056674,0.00007122546,0.00001605319,0.00002599989,0.00002272225,0.000004850187],"category_scores_gemma":[0.00003708132,0.00006062632,0.000009709384,0.00009788387,0.00008373072,0.00003692203,0.00004637894,0.00007696098,4.636716e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001335144,"about_ca_system_score_gemma":0.00001233308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001868745,"about_ca_topic_score_gemma":0.00005035728,"domain_scores_codex":[0.9994501,0.00005536489,0.0001528593,0.0001674571,0.00009790333,0.00007633121],"domain_scores_gemma":[0.9997585,0.00002800203,0.00005997624,0.0001097363,0.0000124485,0.00003133159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006661953,0.00007764707,0.03472194,0.00015078,0.000009932508,0.00000723132,0.001663379,0.00001415751,0.9555724,0.001365156,0.0002415066,0.006109304],"study_design_scores_gemma":[0.001008519,0.0002519808,0.843765,0.00004955216,0.00003960076,0.00008336307,0.001809075,0.004152544,0.1475112,0.0006185661,0.0005929399,0.0001176878],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963423,0.002130984,0.0002655906,0.0009206481,0.00002786165,0.0002063956,0.00001186659,0.00001517574,0.00007914753],"genre_scores_gemma":[0.9994684,0.00009255562,0.0001955779,0.00003341896,0.000007110569,0.00002284639,0.00002303412,0.000008415832,0.0001486699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.809043,"threshold_uncertainty_score":0.2472269,"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."}}