{"id":"W4220792444","doi":"10.21926/rpn.2202011","title":"Microwave-Assisted Extraction of Phenolic Compounds from Broccoli (&lt;i&gt;Brassica oleracea&lt;/i&gt;) 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003010778,0.0005102776,0.00044261,0.000449953,0.0001779488,0.0002772392,0.0002227298,0.0002606781,0.0005027693],"category_scores_gemma":[0.0001899042,0.0001833888,0.0006280018,0.0003908866,0.0001485424,0.0002330716,0.0001434102,0.0003900567,0.0002196983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002356741,"about_ca_system_score_gemma":0.0002368865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002219111,"about_ca_topic_score_gemma":0.007005951,"domain_scores_codex":[0.9998399,0.00002492786,0.00001472925,0.00004155335,0.00005748577,0.00002141539],"domain_scores_gemma":[0.9999276,0.00001741608,0.00002249269,0.000004336661,0.00002051435,0.000007569267],"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":[0.00006242954,0.00002252716,0.0002386457,0.0001767017,0.00001434386,0.00003525802,0.00001578184,0.0005041274,0.9964461,0.00002250807,0.00003591679,0.002425695],"study_design_scores_gemma":[0.00001944323,0.0005506421,0.01190985,0.00002841902,0.00007176855,0.0001691096,0.00007004175,0.003692906,0.9807916,0.0000404362,0.002627773,0.00002800085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825654,0.00408632,0.0106158,0.00009648305,0.00001746973,0.000114621,0.000691527,0.0001007688,0.001711617],"genre_scores_gemma":[0.9638475,0.004122731,0.0273516,0.00008417881,0.00001117223,0.0001630149,0.0012376,0.00005830963,0.003123933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002219111,"threshold_uncertainty_score":0.004412472,"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."}}