{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004457008,0.000764748,0.000232945,0.0006297154,0.0002691857,0.001123618,0.000464025,0.0004196901,0.01152864],"category_scores_gemma":[0.0001659979,0.0001426453,0.0001884892,0.0006410699,0.0003910899,0.0007567331,0.0008647224,0.0005033274,0.003763515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004802631,"about_ca_system_score_gemma":0.0003157619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004779753,"about_ca_topic_score_gemma":0.0007646883,"domain_scores_codex":[0.9999125,0.000009799724,0.000004820569,0.00002007081,0.0000379911,0.00001478797],"domain_scores_gemma":[0.999949,0.000005108453,0.000009368433,0.000005795945,0.00001197994,0.00001861683],"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":[0.0006326059,0.0001643645,0.0008134411,0.001142671,0.00002887664,0.0006357042,0.0001070181,0.001514291,0.5706686,0.05035554,0.008828396,0.3651085],"study_design_scores_gemma":[0.00003925188,0.0002879059,0.006494562,0.0001569388,0.00006086034,0.00110689,0.0001176504,0.002778041,0.4828815,0.01532419,0.4907263,0.00002597198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2191451,0.1646931,0.06346849,0.002543558,0.001855254,0.0002068625,0.002352099,0.0009168902,0.5448186],"genre_scores_gemma":[0.4561388,0.0700293,0.02561591,0.0005078503,0.0005406353,0.00007860801,0.002947312,0.0002351408,0.4439064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01152864,"threshold_uncertainty_score":0.03856713,"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."}}