{"id":"W4415017468","doi":"10.1016/j.jfutfo.2025.10.001","title":"Uncovering the spoilage metabolism of spoilage bacteria in large yellow croaker (Larimichthys crocea) under cold chain logistics: A novel perspective of amino acids degradation","year":2025,"lang":"en","type":"article","venue":"Journal of Future Foods","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"National Key Research and Development Program of China; Earmarked Fund for China Agriculture Research System; Shanghai Professional Technology Service Platform on Cold Chain Equipment Performance and Energy Saving Evaluation; Agriculture Research System of China; Ministry of Agriculture and Rural Affairs of the People's Republic of China; National Natural Science Foundation of China","keywords":"Cadaverine; Food spoilage; Putrescine; Shewanella putrefaciens; Pseudomonas fluorescens; Amino acid; Meat spoilage; Bacteria","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":[0.0007042901,0.0001852616,0.0004083398,0.0001572648,0.00005064974,0.00002348531,0.0003042838,0.0002049675,0.00001200135],"category_scores_gemma":[0.0001552577,0.0001277585,0.0002589837,0.0002831845,0.0001223795,0.00001820854,0.0001113413,0.0002517984,1.867552e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000584555,"about_ca_system_score_gemma":0.0001796944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003636998,"about_ca_topic_score_gemma":0.0001630129,"domain_scores_codex":[0.9987559,0.0001003662,0.0005411659,0.000195421,0.0002095731,0.0001975344],"domain_scores_gemma":[0.9986835,0.00003249073,0.0005905028,0.0002526109,0.0004032495,0.00003766718],"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":[0.0004611504,0.0002585861,0.001117318,0.00004471624,0.0003025871,0.000003581901,0.0001984375,0.0003225046,0.9934838,0.003499295,0.00009742667,0.0002106272],"study_design_scores_gemma":[0.00159391,0.0003080256,0.03784789,0.0001048392,0.0001715304,0.00001542463,0.002209225,0.00006067102,0.9503375,0.0004081529,0.006787139,0.0001556507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818771,0.002941197,0.0135397,0.0006107357,0.0003330194,0.0001685873,0.00007555366,0.000001981359,0.0004520724],"genre_scores_gemma":[0.9978166,0.0003042109,0.001046588,0.0001892905,0.0003856021,0.000003396863,0.00001013166,0.00001263248,0.0002315275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04314622,"threshold_uncertainty_score":0.5209842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00840717683348107,"score_gpt":0.2565161557956148,"score_spread":0.2481089789621337,"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."}}