{"id":"W2276352137","doi":"10.1016/j.cofs.2016.01.011","title":"The potential of antioxidative and anti-inflammatory peptides in reducing the risk of cardiovascular diseases","year":2016,"lang":"en","type":"article","venue":"Current Opinion in Food Science","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Medicine; Oxidative stress; Inflammation; Overweight; Obesity; Adverse effect; Pathogenesis; Bioinformatics; Disease; Risk factor; Intensive care medicine; Immunology; Internal medicine; 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":[],"consensus_categories":[],"category_scores_codex":[0.0008986359,0.00007530881,0.00012248,0.00005698957,0.0001085032,0.00001452001,0.0002823565,0.00002256895,4.447499e-7],"category_scores_gemma":[0.0003542393,0.00003589325,0.0000906921,0.0002028864,0.001154295,0.00001529784,0.0001859582,0.00004767034,1.539358e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009782527,"about_ca_system_score_gemma":0.00008745406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001830598,"about_ca_topic_score_gemma":0.000004168608,"domain_scores_codex":[0.9990332,0.0001302283,0.0002070569,0.0002549757,0.000223496,0.0001510581],"domain_scores_gemma":[0.9994134,0.00003894736,0.0001396203,0.0002981162,0.00008245776,0.00002743345],"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":[0.00004507128,0.0000636188,0.1014448,0.00004339027,0.00006451539,9.170839e-8,0.00009380139,0.0003846167,0.8469266,0.0002409851,0.00001996967,0.05067259],"study_design_scores_gemma":[0.0004331961,0.0001543979,0.4849291,0.0002660651,0.00001451082,0.000001567953,0.0002112609,0.0001386811,0.5123978,0.0002911864,0.001053586,0.0001086019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805142,0.01863111,0.0003415527,0.00005724846,0.0002514507,0.0001673949,0.00002724248,0.000001287903,0.000008514258],"genre_scores_gemma":[0.9895132,0.01040043,0.00001683182,7.030214e-7,0.00005068238,0.00001318501,0.000001134353,0.000002686732,0.000001096147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3834844,"threshold_uncertainty_score":0.4253049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483282746659449,"score_gpt":0.2680379072949525,"score_spread":0.253205079828358,"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."}}