{"id":"W4220792444","doi":"10.21926/rpn.2202011","title":"Microwave-Assisted Extraction of Phenolic Compounds from Broccoli (<i>Brassica oleracea</i>) Stems, Leaves, and Florets: Optimization, Characterization, and Comparison with Maceration Extraction","year":2022,"lang":"en","type":"article","venue":"Recent Progress in Nutrition","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Brassica oleracea; Chemistry; DPPH; ABTS; Maceration (sewage); Extraction (chemistry); Gallic acid; Food science; Ferulic acid; Chlorogenic acid; Botany; Horticulture; Antioxidant; Chromatography; Biology; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000174911,0.0002354432,0.0004784625,0.0002866717,0.0002612259,0.00009066104,0.00005560122,0.0001560839,0.00006599671],"category_scores_gemma":[0.00001767553,0.0002461855,0.00003126462,0.0004642377,0.0001786215,0.0005603827,0.00004639382,0.000355715,5.217786e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002244465,"about_ca_system_score_gemma":0.00006587853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006107425,"about_ca_topic_score_gemma":0.00002633441,"domain_scores_codex":[0.9981299,0.0001799166,0.0006024697,0.0004436872,0.0004232928,0.0002207202],"domain_scores_gemma":[0.9989066,0.00007800889,0.0005190976,0.0001810889,0.0002262957,0.00008892799],"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":[0.001537548,0.002223864,0.02540245,0.0004868423,0.00007149261,0.000008189432,0.0004947454,0.00008703618,0.9497392,0.0001172339,0.0003260903,0.01950528],"study_design_scores_gemma":[0.01792072,0.002313597,0.4350164,0.003546339,0.0005648811,0.0006621959,0.001408278,0.05881167,0.4238725,0.0001965131,0.05444304,0.001243857],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985856,0.006019778,0.005664852,0.0008182896,0.0001537901,0.001173433,0.0001393573,0.00008000147,0.000094521],"genre_scores_gemma":[0.986793,0.004805034,0.004940017,0.00004655074,0.0001615591,0.0003326752,0.002828325,0.00003835577,0.00005443371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5258667,"threshold_uncertainty_score":0.999999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172301845908272,"score_gpt":0.2710691322691423,"score_spread":0.2538389476783151,"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."}}