{"id":"W1996226476","doi":"10.1016/j.mbs.2013.10.008","title":"An allelopathy based model for the Listeria overgrowth phenomenon","year":2013,"lang":"en","type":"article","venue":"Mathematical Biosciences","topic":"Listeria monocytogenes in Food Safety","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs","keywords":"Listeria monocytogenes; Listeria; Chemostat; Allelopathy; Biology; Population; Phenomenon; Biological system; Competition (biology); Microbiology; Bacteria; Biochemical engineering; Food science; Ecology; Germination; Physics; Botany; Genetics; Engineering","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":[0.0004789814,0.0007629207,0.00086877,0.0006309776,0.0006039701,0.001414057,0.001898755,0.002155442,0.002570619],"category_scores_gemma":[0.001601813,0.0003281616,0.0008828326,0.0005390155,0.001272727,0.00146585,0.001275222,0.001598801,0.0002634874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537873,"about_ca_system_score_gemma":0.001095727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00458295,"about_ca_topic_score_gemma":0.002796755,"domain_scores_codex":[0.9997913,0.00006975701,0.000008833948,0.00003863201,0.00004962691,0.00004186632],"domain_scores_gemma":[0.9994764,0.0002399417,0.0001141799,0.00002720419,0.00007388958,0.00006848283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000472746,0.00008185489,0.0007427617,0.00009439527,0.00003875256,0.0002189424,0.0001250061,0.5571957,0.007471551,0.4296618,0.001291612,0.003030322],"study_design_scores_gemma":[0.00002476703,0.00002544035,0.0002175158,0.000005460868,0.00001278906,0.00003637506,0.000018044,0.9451103,0.0002026442,0.05361596,0.000717909,0.00001281514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3520707,0.00157132,0.5825579,0.005571484,0.0002941946,0.00007419565,0.0005274947,0.0002233675,0.0571094],"genre_scores_gemma":[0.960652,0.0007308759,0.01714128,0.0003352,0.0001011719,0.0001274637,0.0001386322,0.00005243881,0.02072096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00458295,"threshold_uncertainty_score":0.01115811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0775503187626365,"score_gpt":0.3296078900209042,"score_spread":0.2520575712582677,"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."}}