{"id":"W4214734205","doi":"10.1016/j.fbio.2022.101641","title":"Bioactivity of mackerel peptides on obesity and insulin resistance, an in-vivo study","year":2022,"lang":"en","type":"article","venue":"Food Bioscience","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Insulin resistance; Internal medicine; Endocrinology; Metabolic syndrome; Mackerel; Obesity; Insulin; Medicine; Diabetes mellitus; Triglyceride; Population; Biology; Cholesterol; Fish <Actinopterygii>; Fishery; Environmental health","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":[0.000539922,0.0008385656,0.000377193,0.0003781661,0.0003002128,0.000329239,0.0002354326,0.0004851972,0.001533126],"category_scores_gemma":[0.0003436633,0.0003117476,0.0004929482,0.0001805057,0.0005584336,0.0006194887,0.0001775657,0.001125186,0.0002386311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002338362,"about_ca_system_score_gemma":0.0002164215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005519307,"about_ca_topic_score_gemma":0.0005778446,"domain_scores_codex":[0.9998492,0.00004754931,0.00000979448,0.000033373,0.00001725732,0.00004282167],"domain_scores_gemma":[0.9997646,0.00006371784,0.00004609399,0.00002693967,0.00001969036,0.00007897843],"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":[0.009644433,0.0003865238,0.0003599906,0.00007670769,0.00002874581,0.00008051035,0.00004505454,0.0001109855,0.9862323,0.00006684492,0.00003498396,0.002932812],"study_design_scores_gemma":[0.0003688618,0.01608499,0.009916257,0.00001680868,0.0001214251,0.000212834,0.00007139293,0.0007010049,0.9710857,0.00006516196,0.001337935,0.00001763194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967297,0.001776932,0.000655938,0.00006338595,0.00003275581,0.00002705925,0.00008594148,0.00001500274,0.0006132193],"genre_scores_gemma":[0.9940262,0.00134256,0.00106746,0.00009475099,0.00005613468,0.00005734324,0.0002986035,0.00002292808,0.003033967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001533126,"threshold_uncertainty_score":0.005128801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01455886814694868,"score_gpt":0.2500439169046382,"score_spread":0.2354850487576895,"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."}}