{"id":"W7116713840","doi":"10.1016/j.tifs.2025.105514","title":"Editorial: Smart food safety and the future of food science: Building intelligent, predictive, and autonomous food systems","year":2025,"lang":"en","type":"article","venue":"Trends in Food Science & Technology","topic":"Listeria monocytogenes in Food Safety","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; McGill University","funders":"","keywords":"Food safety; Food systems; Food supply; Food processing; Food security","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001955021,0.0003070952,0.0004677953,0.001459072,0.0004988709,0.0001020444,0.001580687,0.0004674632,0.000001211323],"category_scores_gemma":[0.0003617926,0.0002411252,0.00006627389,0.003789992,0.007675382,0.00004204217,0.002040993,0.0003475772,1.920051e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001457385,"about_ca_system_score_gemma":0.0004977096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009819657,"about_ca_topic_score_gemma":0.0001225506,"domain_scores_codex":[0.9971157,0.00008526267,0.0006407775,0.00108342,0.000413277,0.0006615637],"domain_scores_gemma":[0.9983203,0.0000520518,0.0002599969,0.001008532,0.0002668431,0.00009228019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00191108,0.0003037803,0.01094431,0.0002090681,0.0004368154,0.000001872367,0.001002983,0.000515927,0.4011081,0.4745154,0.0008580661,0.1081927],"study_design_scores_gemma":[0.004970607,0.01238369,0.002769548,0.0001964479,0.0001204678,0.0001348108,0.003483336,0.001060758,0.838044,0.01195043,0.1240157,0.0008702389],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597847,0.01243315,0.001995331,0.001128621,0.02165691,0.0006563334,0.0001186402,0.0001017212,0.002124529],"genre_scores_gemma":[0.9978183,0.0004631256,0.0003955374,0.00004094274,0.00114755,0.00007454608,0.000004912177,0.0000163373,0.00003874797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4625649,"threshold_uncertainty_score":0.9950252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814232175558975,"score_gpt":0.2978072077582503,"score_spread":0.2796648860026605,"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."}}