{"id":"W2004429405","doi":"10.1016/j.jfca.2014.09.003","title":"Characterization of phenolics, betacyanins and antioxidant activities of the seed, leaf, sprout, flower and stalk extracts of three Amaranthus species","year":2014,"lang":"en","type":"article","venue":"Journal of Food Composition and Analysis","topic":"Botanical Research and Applications","field":"Agricultural and Biological Sciences","cited_by":178,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Katan Kitchens (Canada); Agriculture and Agri-Food Canada","funders":"National Natural Science Foundation of China","keywords":"Chlorogenic acid; Gallic acid; Chemistry; Kaempferol; Amaranthus cruentus; Rutin; Betalain; Protocatechuic acid; Ferulic acid; Food science; Ellagic acid; Quercetin; Botany; Amaranth; Polyphenol; Antioxidant; Biology; Biochemistry; Pigment; Organic chemistry","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":[0.0001970393,0.00005869791,0.0002542605,0.00003328083,0.00007960839,0.00002663497,0.00008084182,0.00003106201,0.00002006841],"category_scores_gemma":[0.00002118761,0.00002261752,0.0001073333,0.0002917943,0.0001681007,0.0001143974,0.00003668219,0.000071156,2.842381e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003661861,"about_ca_system_score_gemma":0.000004753504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002074593,"about_ca_topic_score_gemma":0.0002004446,"domain_scores_codex":[0.9993136,0.00005790771,0.0002832051,0.00007376636,0.000202722,0.00006881624],"domain_scores_gemma":[0.9992861,0.0001163482,0.0003719362,0.00003929228,0.0001319134,0.00005447282],"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":[0.00004019755,0.00008566579,0.01321766,0.00001312692,0.00013951,8.47958e-8,0.00005273606,0.000002575957,0.9790864,0.000644579,0.000001059936,0.006716436],"study_design_scores_gemma":[0.0001284529,0.0003069788,0.8844231,0.00003532858,0.0001741774,0.00000390224,0.0001128707,0.0003061611,0.1141105,0.000293768,0.00006567216,0.00003906319],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984975,0.0001163591,0.0004495143,0.0007579351,0.000007437928,0.00005179656,0.00006550574,0.000001410674,0.00005254801],"genre_scores_gemma":[0.999492,0.0003777225,0.00006248763,0.00001646575,0.00003463601,5.165758e-7,0.000005512587,4.712095e-7,0.00001021027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8712054,"threshold_uncertainty_score":0.09223157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01648438597340405,"score_gpt":0.2191017695202971,"score_spread":0.202617383546893,"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."}}