{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000425251,0.0004988433,0.0007525019,0.0000896792,0.0002759302,0.0003740634,0.0007390064,0.0005971483,0.00001101815],"category_scores_gemma":[0.0001608344,0.000448238,0.0003111512,0.00007504666,0.0001800928,0.0000888446,0.0003539382,0.0005917371,0.000001111975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009566868,"about_ca_system_score_gemma":0.0002907822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004017462,"about_ca_topic_score_gemma":0.00003602479,"domain_scores_codex":[0.997373,0.0001304297,0.0007878529,0.0007361427,0.0004837793,0.0004888295],"domain_scores_gemma":[0.9970766,0.00001829496,0.00145359,0.0008164017,0.0003369394,0.0002981989],"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":[0.0007203278,0.00023873,0.001834704,0.00005388294,0.000348191,0.0001036804,0.00003917528,0.001140345,0.9946054,0.000001052866,0.00005720787,0.0008573164],"study_design_scores_gemma":[0.001890929,0.0003062768,0.009278839,0.000376942,0.0001568245,0.0001644533,0.0001982662,0.01418947,0.9727938,0.00007336152,0.00003408685,0.0005367227],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897397,0.00753533,0.001226002,0.0001523131,0.0002821394,0.0003320392,0.0006096617,0.000007905501,0.0001148693],"genre_scores_gemma":[0.9969615,0.0006070413,0.001268306,0.00002018716,0.0009397952,0.000009715405,0.00003603257,0.00005003875,0.0001073659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02181155,"threshold_uncertainty_score":0.9997969,"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."}}