{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004463463,0.0001605216,0.0003775946,0.00007129076,0.00002940891,0.00001754349,0.00006606727,0.0001232662,0.00006592618],"category_scores_gemma":[0.00004966277,0.0001435449,0.00006422897,0.0001322106,0.0001346355,0.0001580795,0.00006364107,0.0001535451,0.000009630993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001547612,"about_ca_system_score_gemma":0.00004393103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000067489,"about_ca_topic_score_gemma":3.415526e-7,"domain_scores_codex":[0.9991331,0.00001935993,0.0002144693,0.0002602092,0.0001687982,0.0002041304],"domain_scores_gemma":[0.9995253,0.00002238778,0.0001157133,0.0001897478,0.00007107751,0.00007574056],"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":[0.00009170842,0.0001100817,0.004096599,0.0002981445,0.00004788068,0.000003079381,0.0003670686,3.218505e-7,0.9939793,0.0002064493,0.00008360712,0.0007157726],"study_design_scores_gemma":[0.0007581991,0.0001196195,0.02472503,0.0003137599,0.00003674118,0.00001539651,0.000233232,0.0002712475,0.9728689,0.0001560131,0.0003571898,0.0001447179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969359,0.0005156152,0.0004261967,0.0003069471,0.0000528577,0.0003005116,0.00004370061,0.00004077388,0.001377523],"genre_scores_gemma":[0.9981291,0.0002324409,0.0008018776,0.0001769567,0.0001058643,0.00001739893,0.0001233147,0.00002337261,0.0003897266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02111043,"threshold_uncertainty_score":0.5853591,"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."}}