{"id":"W2220261132","doi":"10.1016/j.foodhyd.2015.12.008","title":"Antioxidant and antihypertensive properties of phenolic–protein complexes in extracted protein fractions from Nigella damascena and Nigella arvensis","year":2015,"lang":"en","type":"article","venue":"Food Hydrocolloids","topic":"Nigella sativa pharmacological applications","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Jordan University of Science and Technology","keywords":"Glutelin; Chemistry; Globulin; Antioxidant; Nigella sativa; Albumin; Prolamin; Food science; Biochemistry; Traditional medicine; Storage protein; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001420246,0.0006088414,0.0003515877,0.0004121863,0.0002699456,0.0002176471,0.0002247399,0.0002471334,0.0005737016],"category_scores_gemma":[0.0001532855,0.0001701533,0.0003440326,0.000339582,0.0002235016,0.0002616973,0.0002055067,0.0005090362,0.00009433839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001917106,"about_ca_system_score_gemma":0.000168439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001619505,"about_ca_topic_score_gemma":0.00188977,"domain_scores_codex":[0.9999212,0.00001309261,0.000007078715,0.00001826643,0.00002027677,0.00002015473],"domain_scores_gemma":[0.9998751,0.00002031113,0.00003027245,0.000008922374,0.00003353133,0.00003189179],"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":[0.0002697197,0.00002646206,0.0001673435,0.00007838251,0.00001681385,0.00002968122,0.00004410703,0.00003803842,0.9985527,0.00003103785,0.00001363272,0.0007319985],"study_design_scores_gemma":[0.00006236434,0.0005623678,0.02319557,0.00002193773,0.0001545947,0.0001848711,0.0001560853,0.0007881194,0.9717528,0.00010853,0.002993777,0.00001894032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957485,0.002334995,0.0009754003,0.00005377322,0.00002213687,0.00001543981,0.0002293026,0.00002356446,0.0005969409],"genre_scores_gemma":[0.9953987,0.0007013234,0.001245752,0.00005990099,0.00001331554,0.00001605688,0.000853277,0.00001168866,0.001700052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001619505,"threshold_uncertainty_score":0.003220201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05796287186293542,"score_gpt":0.2755932312447544,"score_spread":0.217630359381819,"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."}}