{"id":"W4378882963","doi":"10.1016/b978-0-323-85125-1.00170-8","title":"Factors affecting microbial spoilage","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada","funders":"","keywords":"Food spoilage; Meat spoilage; Food science; Shelf life; Meat packing industry; Microorganism; Biology; Biotechnology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001062112,0.0004413103,0.0001615714,0.0003078003,0.0001351075,0.0007126612,0.0001965862,0.0003046543,0.01331684],"category_scores_gemma":[0.0001338201,0.0001061367,0.0001171391,0.0004869055,0.0001601541,0.0003756706,0.0002015807,0.0002591985,0.003241288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002079473,"about_ca_system_score_gemma":0.0001550017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002247219,"about_ca_topic_score_gemma":0.002933442,"domain_scores_codex":[0.9999629,0.000003911098,0.000002078599,0.000007523087,0.0000163759,0.000007333902],"domain_scores_gemma":[0.9999583,0.00001856353,0.000006986956,0.000001810555,0.000008046924,0.000006263945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004944567,0.0002442355,0.02180399,0.0006732519,0.00003246446,0.001164928,0.0003023903,0.0008038813,0.385942,0.002003485,0.007622243,0.5789127],"study_design_scores_gemma":[0.00001842731,0.001975584,0.5638113,0.0004959592,0.000079668,0.003647745,0.001490925,0.001312047,0.1304274,0.004874082,0.2918215,0.00004524417],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5153152,0.1021228,0.005366638,0.001113398,0.0004883584,0.00007306586,0.002069917,0.0002109974,0.3732396],"genre_scores_gemma":[0.5433255,0.07247066,0.00520732,0.0003783368,0.0002429096,0.00004894582,0.001914349,0.000067345,0.3763447],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01331684,"threshold_uncertainty_score":0.04454929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06970759622230947,"score_gpt":0.2508573091473052,"score_spread":0.1811497129249957,"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."}}