{"id":"W2923647077","doi":"10.4315/0362-028x.jfp-18-371","title":"Growth of Salmonella enterica Serovars Typhimurium and Enteritidis in Iron-Poor Media and in Meat: Role of Catecholate and Hydroxamate Siderophore Transporters","year":2019,"lang":"en","type":"article","venue":"Journal of Food Protection","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cegep de Saint Hyacinthe; Canadian Food Inspection Agency; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Institut National de la Recherche Agronomique","keywords":"Siderophore; Salmonella; Mutant; Salmonella enteritidis; Salmonella enterica; Microbiology; Enterobactin; Biology; Serotype; Ferrichrome; Ferroportin; Enterobacteriaceae; Chemistry; Bacteria; Escherichia coli; Biochemistry; Bacterial outer membrane; Gene; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003334139,0.0000946589,0.0003321896,0.00006177116,0.00001357996,0.00000699563,0.00005732628,0.00009896,0.000009719576],"category_scores_gemma":[0.00002551423,0.00004549213,0.00003956066,0.0001438512,0.00005440341,0.0001212138,0.00001762073,0.0001567779,1.70436e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001068528,"about_ca_system_score_gemma":0.00000348973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002977361,"about_ca_topic_score_gemma":0.0002981045,"domain_scores_codex":[0.999097,0.0001104657,0.0004441127,0.0001369355,0.00008982996,0.0001215987],"domain_scores_gemma":[0.999525,0.00006223541,0.0003011366,0.00002296461,0.00003895054,0.00004979028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000346424,0.00003654689,0.2124115,0.0000456136,0.00001002664,0.000002633634,0.0003484308,0.00000294193,0.7823696,0.000004302016,5.595243e-7,0.004421397],"study_design_scores_gemma":[0.0005572747,0.001353815,0.9349673,0.0001313159,0.00001273369,0.0001117717,0.0004688272,0.00005549737,0.06097161,0.001276604,0.00001508139,0.00007816462],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998586,0.0008067102,0.000001660307,0.0003435306,0.00005416733,0.0001809511,0.000008392505,0.000002661601,0.00001595515],"genre_scores_gemma":[0.9991918,0.0007299595,0.00003052407,0.00001875436,0.0000224583,0.000002508651,0.000001311837,0.000001188841,0.000001562672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7225558,"threshold_uncertainty_score":0.1855115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034544261909883,"score_gpt":0.1869858551049473,"score_spread":0.1766404124858484,"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."}}