{"id":"W2770283989","doi":"10.1111/jfbc.12462","title":"Carotenoprotein from Pacific white shrimp (<i>Litopenaeus vannamei</i>) shells extracted using trypsin from albacore tuna (<i>Thunnus alalunga</i>) spleen: Antioxidant activity and its potential in model systems","year":2017,"lang":"en","type":"article","venue":"Journal of Food Biochemistry","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Thailand Graduate Institute of Science and Technology; Thaksin University; Thailand Research Fund","keywords":"Shrimp; Chemistry; Albacore; Tuna; ABTS; Litopenaeus; Antioxidant; Food science; Biochemistry; DPPH; Ferrous; Trypsin; Biology; Fishery; Enzyme; Organic chemistry","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":[0.000138458,0.0004103982,0.0001622943,0.0002354676,0.0001566476,0.0002926744,0.00009686394,0.0002242784,0.0004675771],"category_scores_gemma":[0.0001115507,0.0001217055,0.0001777868,0.0002090208,0.0001747697,0.0002443418,0.0002222124,0.0003182974,0.0001309221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009960875,"about_ca_system_score_gemma":0.0001581962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005383721,"about_ca_topic_score_gemma":0.0008499901,"domain_scores_codex":[0.9999334,0.000009051395,0.000008353922,0.00002109759,0.0000184123,0.000009821186],"domain_scores_gemma":[0.9999313,0.0000108813,0.00002525207,0.000005301938,0.00001335862,0.00001383684],"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":[0.00003207157,0.000007532823,0.0004452881,0.00003213372,0.000003746256,0.0000316133,0.000009617599,0.00001385225,0.9987565,0.000007704696,0.000004817914,0.0006552822],"study_design_scores_gemma":[0.000009171715,0.0003418946,0.01782903,0.00001317924,0.00002886241,0.0004058546,0.00009073342,0.0002203176,0.9797422,0.00003244135,0.001278449,0.000007759594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958447,0.001478794,0.001863828,0.00003535533,0.0000118679,0.00001842796,0.0001487282,0.00001227592,0.0005861071],"genre_scores_gemma":[0.992457,0.001274167,0.003190893,0.00003813799,0.000006976199,0.00002150063,0.0007413867,0.00001035651,0.002259608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005383721,"threshold_uncertainty_score":0.001564145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166646926065164,"score_gpt":0.2484270137337578,"score_spread":0.2317623211272414,"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."}}