{"id":"W4294975856","doi":"10.4315/jfp-22-165","title":"Modeling the UV-C Inactivation Kinetics and Determination of Fluence Required for Incremental Inactivation of Cronobacter spp.","year":2022,"lang":"en","type":"article","venue":"Journal of Food Protection","topic":"Enterobacteriaceae and Cronobacter Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Kinetics; Ultraviolet; Cronobacter sakazakii; Fluence; Chemistry; Biology; Chromatography; Materials science; Food science; Infant formula; Physics; Optoelectronics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002625568,0.0004985342,0.0003329774,0.0003074489,0.0002405383,0.0004398588,0.0005781107,0.0009799943,0.001213153],"category_scores_gemma":[0.000774314,0.0003102299,0.0005305439,0.0002221673,0.0001418098,0.00045347,0.0001735253,0.000618198,0.0003470677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248363,"about_ca_system_score_gemma":0.0009164888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0209353,"about_ca_topic_score_gemma":0.009624389,"domain_scores_codex":[0.9999199,0.000010755,0.000004188494,0.00002253473,0.0000178262,0.00002470522],"domain_scores_gemma":[0.9997091,0.0001686003,0.00003501542,0.00001271574,0.00006008579,0.0000145121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001641754,0.0001653412,0.005042938,0.0001458272,0.00002260036,0.0001035673,0.000061429,0.9293061,0.05808178,0.00105095,0.0002554169,0.005599864],"study_design_scores_gemma":[0.000008735341,0.00008210246,0.00119665,0.000007111365,0.00001262234,0.00002254726,0.00002052015,0.9828667,0.01525216,0.0002141903,0.0003073341,0.000009403856],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637965,0.0005526096,0.03091436,0.0001843421,0.00002475068,0.00006963321,0.0004264656,0.0001530557,0.003878392],"genre_scores_gemma":[0.9935942,0.0002576076,0.004436404,0.00002406466,0.000001743607,0.00005690091,0.0001988019,0.00002424207,0.00140591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0209353,"threshold_uncertainty_score":0.04162687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03170888702024546,"score_gpt":0.2803798033549925,"score_spread":0.2486709163347471,"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."}}