{"id":"W4389285623","doi":"10.1016/j.fm.2023.104443","title":"Quantitative microbial spoilage risk assessment of Aspergillus niger in white bread reveal that retail storage temperature and mold contamination during factory cooling are the main factors to influence spoilage","year":2023,"lang":"en","type":"article","venue":"Food Microbiology","topic":"Listeria monocytogenes in Food Safety","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Food spoilage; Mold; Contamination; Food science; Aspergillus niger; Environmental science; Food safety; Toxicology; Biology; Botany; Ecology","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":[0.0001968,0.0003771959,0.0001781024,0.0003322661,0.000138508,0.000415937,0.0001218589,0.0002553918,0.0003607427],"category_scores_gemma":[0.0002319625,0.00009551241,0.0003590872,0.0002360413,0.0001131488,0.0001530306,0.0001767981,0.0002211695,0.0001059467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001551885,"about_ca_system_score_gemma":0.00008877869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001346979,"about_ca_topic_score_gemma":0.001178998,"domain_scores_codex":[0.9997595,0.00003729064,0.00001990064,0.00007799012,0.00006941648,0.00003601361],"domain_scores_gemma":[0.9997595,0.0000445772,0.00008339253,0.00002159996,0.00005800218,0.00003290448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000613515,0.0002051505,0.09542826,0.00004477825,0.00005442,0.00008287169,0.00008250516,0.0007757605,0.8959116,0.00006858057,0.00004119033,0.006691458],"study_design_scores_gemma":[0.00000688077,0.001451314,0.5888628,0.000009255397,0.000090626,0.0002575264,0.0003295255,0.007110014,0.4013639,0.0001262405,0.0003733315,0.00001859256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986932,0.0000621069,0.0009326485,0.00000559726,0.000001397189,0.000004147069,0.0001394921,0.000007074054,0.0001543142],"genre_scores_gemma":[0.9990947,0.00002653163,0.000471836,0.000004613883,5.4676e-7,0.000003013065,0.0001866743,0.000001929625,0.00021008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001346979,"threshold_uncertainty_score":0.002678335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03215108519955407,"score_gpt":0.2876006754415341,"score_spread":0.2554495902419801,"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."}}