{"id":"W4319039924","doi":"10.20944/preprints202302.0021.v1","title":"Thermal Processing via Air Frying Improves the Antioxidant Properties of Brassica Vegetables","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Manitoba; St. Boniface Hospital","funders":"Canadian Institutes of Health Research","keywords":"Brassica; Flavonoid; Food science; Chemistry; Antioxidant; DPPH; ABTS; Glucosinolate; Brassica oleracea; Botany; Biochemistry; Biology","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":[0.0004711318,0.0004142536,0.0004476053,0.0000601334,0.0001708605,0.00002734647,0.001009057,0.0003730933,0.00001272675],"category_scores_gemma":[0.0002315148,0.0003095635,0.0002796325,0.00008271008,0.0004452354,0.000008221426,0.002754557,0.0005135633,0.00004479047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002698825,"about_ca_system_score_gemma":0.0002589342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001292061,"about_ca_topic_score_gemma":0.0000215683,"domain_scores_codex":[0.9976606,0.0001348021,0.000573494,0.0009656638,0.0002447089,0.0004207143],"domain_scores_gemma":[0.9979374,0.00001599941,0.0005264452,0.001190082,0.0002542157,0.00007583285],"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":[0.00008448334,0.00008434721,0.03072723,0.0006353515,0.0001991577,0.000001324501,0.0005139803,0.0005838322,0.9661064,0.000006084852,0.0000224433,0.001035387],"study_design_scores_gemma":[0.000182299,0.000021692,0.1012895,0.0003120409,0.00006004056,0.000002073307,0.0001860866,0.0001643054,0.8966324,0.0002747988,0.0005407063,0.0003341028],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953526,0.002184568,0.0003559762,0.0003407573,0.0003760474,0.000645009,0.00002944506,0.0000592748,0.0006563377],"genre_scores_gemma":[0.99777,0.0003264142,0.0001808723,0.00009457512,0.0004705147,0.0001857055,0.00005887977,0.00008370227,0.0008294141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07056223,"threshold_uncertainty_score":0.9999356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08127351556783763,"score_gpt":0.3014989297253728,"score_spread":0.2202254141575352,"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."}}