{"id":"W2982633350","doi":"10.1186/s41240-019-0137-0","title":"Characterization of antioxidative peptide purified from black eelpout (Lycodes diapterus) hydrolysate","year":2019,"lang":"en","type":"article","venue":"Fisheries and aquatic sciences","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Ministry of Land, Transport and Maritime Affairs","keywords":"Hydrolysate; DPPH; Peptide; Antioxidant; Chemistry; Biochemistry; Amino acid; Pepsin; Peptide sequence; Enzyme; Hydrolysis","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":[0.000169552,0.0006512223,0.000272214,0.0003845418,0.0001181908,0.0002205813,0.0001013583,0.0002474925,0.0007582577],"category_scores_gemma":[0.0002606577,0.0001043074,0.0002979684,0.0002223366,0.0001551697,0.0002744816,0.0001665594,0.0003970823,0.0002909118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001187259,"about_ca_system_score_gemma":0.0001338866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005312131,"about_ca_topic_score_gemma":0.0005670843,"domain_scores_codex":[0.9999326,0.000007797688,0.000006906024,0.0000184122,0.00002063052,0.0000135841],"domain_scores_gemma":[0.9997817,0.00003933063,0.00007376511,0.000009807613,0.00004545248,0.00005000474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005836597,0.000009551537,0.0003857117,0.0000500957,0.000005345483,0.00006694474,0.00001685651,0.0000215178,0.9985085,0.000008719379,0.00000751403,0.0008608734],"study_design_scores_gemma":[0.0000269612,0.000830616,0.06571908,0.00004068228,0.0000544195,0.0008308332,0.0001702764,0.0005782055,0.9282079,0.00006547208,0.003458807,0.00001670558],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938689,0.002324809,0.002438325,0.0000663026,0.00002555291,0.000037772,0.0006492335,0.00001644506,0.0005727269],"genre_scores_gemma":[0.9826125,0.002245254,0.007386638,0.0001681434,0.00003634459,0.00007021475,0.003307345,0.00003334261,0.00414025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007582577,"threshold_uncertainty_score":0.002536654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132185283041694,"score_gpt":0.2199340239964816,"score_spread":0.2086121711660646,"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."}}