{"id":"W2936056898","doi":"10.3390/molecules24081536","title":"Phytochemical Characterization of Five Edible Purple-Reddish Vegetables: Anthocyanins, Flavonoids, and Phenolic Acid Derivatives","year":2019,"lang":"en","type":"article","venue":"Molecules","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Research and Innovation; Colegiul Consultativ pentru Cercetare-Dezvoltare şi Inovare; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii","keywords":"Chemistry; ABTS; Food science; Flavonols; DPPH; Polyphenol; Chlorogenic acid; Quercetin; Phytochemical; Flavonoid; Proanthocyanidin; Antioxidant; Peonidin; Anthocyanin; Cyanidin; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001487297,0.0003257928,0.0002442156,0.0008502837,0.0002484389,0.0002361065,0.00009823551,0.0001929435,0.0006141464],"category_scores_gemma":[0.0001329221,0.0001162625,0.0002726871,0.0004861256,0.0001481947,0.0001552422,0.0001644521,0.0002040591,0.000129985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009999828,"about_ca_system_score_gemma":0.0001754522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001753531,"about_ca_topic_score_gemma":0.003479282,"domain_scores_codex":[0.9999347,0.000008569691,0.000005569118,0.00002156772,0.00001935247,0.00001030442],"domain_scores_gemma":[0.999866,0.00001666926,0.00002617241,0.000006656716,0.00004923697,0.00003522716],"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":[0.0002312983,0.00006226567,0.005363507,0.0002057896,0.00002874961,0.0001618453,0.00015711,0.0000512876,0.9910301,0.00003194415,0.00003303176,0.002643116],"study_design_scores_gemma":[0.0000630089,0.002822654,0.5770163,0.00008493098,0.0002908603,0.001514325,0.001105839,0.0008966971,0.4098548,0.0001326534,0.006157798,0.00006019621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997903,0.0008332503,0.0004832206,0.00001208766,0.000003319792,0.00001826347,0.0004150031,0.000009193053,0.0003226247],"genre_scores_gemma":[0.9941919,0.0006430448,0.002716702,0.00004726107,0.000004347518,0.00002541467,0.000982856,0.00001083112,0.001377626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001753531,"threshold_uncertainty_score":0.003486633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006041415061335454,"score_gpt":0.2251932304426022,"score_spread":0.2191518153812668,"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."}}