{"id":"W4416275759","doi":"10.1002/fsn3.71184","title":"Fish By‐Products Utilization in Food and Health: Extraction Technologies, Bioactive, and Sustainability Challenges","year":2025,"lang":"en","type":"article","venue":"Food Science & Nutrition","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Sustainability; Food security; Fish <Actinopterygii>; Health benefits; Food processing; Raw material; Human health; Work (physics); Functional food","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":[],"consensus_categories":[],"category_scores_codex":[0.0005403255,0.00009846113,0.0001089807,0.0001800125,0.0001870303,0.00004558158,0.00009808676,0.0001055838,2.573076e-7],"category_scores_gemma":[0.0002814285,0.00009679059,0.00001310982,0.0004780545,0.000408583,0.00004004002,0.0001016805,0.00007957638,5.173436e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009803234,"about_ca_system_score_gemma":0.0001229344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002898434,"about_ca_topic_score_gemma":0.0002316165,"domain_scores_codex":[0.9989465,0.00004200125,0.0001438429,0.0005510129,0.0001057711,0.0002108438],"domain_scores_gemma":[0.9995512,0.000007609022,0.00006776558,0.0001837571,0.000160602,0.00002910056],"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":[0.0001207564,0.000616416,0.003290727,0.0005412637,0.00001784403,3.4553e-7,0.000120186,0.000001797704,0.7660069,0.002134144,0.0003919764,0.2267576],"study_design_scores_gemma":[0.0006032983,0.001471756,0.0286317,0.00007979864,0.000004164811,0.000004875363,0.001895892,0.00007511348,0.9498679,0.005992917,0.01121312,0.0001594528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610364,0.02320239,0.0005212881,0.01445605,0.00004571538,0.0005928107,0.00002253712,0.00002922782,0.00009361473],"genre_scores_gemma":[0.9894425,0.0101902,0.000162585,0.00006829471,0.00001600342,0.00007986561,0.00002646233,0.000003116762,0.0000109366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2265982,"threshold_uncertainty_score":0.3947006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0314263874193987,"score_gpt":0.3095613033100035,"score_spread":0.2781349158906049,"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."}}