{"id":"W1490866306","doi":"10.1002/9781119108580.ch9","title":"Bioactive Peptides from Meat Proteins as Functional Food Components","year":2015,"lang":"en","type":"other","venue":"","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Food science; Functional food; Chemistry; Food protein; Biochemistry; Computational biology; Biology; Biotechnology","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008643757,0.000478332,0.0003963099,0.0001217792,0.00005822255,0.00004558762,0.000285988,0.0006245403,0.002567704],"category_scores_gemma":[0.00005705124,0.0003892293,0.000206684,0.00008798735,0.0001685727,0.000003715753,0.0002493376,0.0001824153,0.0005530199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000331909,"about_ca_system_score_gemma":0.0001678023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001707361,"about_ca_topic_score_gemma":0.001521856,"domain_scores_codex":[0.9981564,0.00009198974,0.0002225078,0.0008195912,0.0004037289,0.0003058433],"domain_scores_gemma":[0.9988914,0.000007922575,0.000228673,0.0005542531,0.0001297142,0.0001880971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001866794,0.0001924168,0.0001910513,0.00001396094,0.001196536,0.000003553207,0.000009299341,0.00000142404,0.3681521,0.00007470811,0.6294398,0.0005384919],"study_design_scores_gemma":[0.0006380391,0.0004973771,0.0001850892,0.00006091652,0.0000729686,0.000005380845,0.00004157493,0.00000373892,0.2068513,0.0002970408,0.7908425,0.0005041035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02381911,0.004407033,0.000979665,0.0001386875,0.0004249833,0.001240417,0.001824203,0.0001541591,0.9670117],"genre_scores_gemma":[0.1693431,0.0001909655,0.00184174,0.0003425479,0.002166026,0.0001638571,0.006653457,0.0004440067,0.8188543],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1614027,"threshold_uncertainty_score":0.9998559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02567844268431113,"score_gpt":0.2379052486253297,"score_spread":0.2122268059410186,"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."}}