{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004637776,0.0007645316,0.0005344108,0.0005151036,0.0003501297,0.0006802674,0.0004882526,0.0006110368,0.001261235],"category_scores_gemma":[0.001011914,0.0003669684,0.0005314276,0.0003074815,0.0003966504,0.000529738,0.0007703284,0.0005941831,0.0004412227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004128052,"about_ca_system_score_gemma":0.0006550839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008423223,"about_ca_topic_score_gemma":0.007646409,"domain_scores_codex":[0.9992326,0.0001755307,0.00009007551,0.0001345527,0.0001700981,0.0001971536],"domain_scores_gemma":[0.9989743,0.0003033807,0.0001272204,0.00007225155,0.000320249,0.0002026828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003156184,0.0003310549,0.007992927,0.00011188,0.00002610418,0.0001582655,0.0003518354,0.0001433396,0.9850423,0.0001271526,0.0001919294,0.002367171],"study_design_scores_gemma":[0.00008301935,0.01020496,0.2295421,0.00005575188,0.0001109977,0.0009044854,0.002968393,0.005029109,0.7490354,0.0002293314,0.001761907,0.00007450052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982198,0.0002196868,0.0002578803,0.00008317767,0.00002705211,0.00001512497,0.0004636124,0.000009831144,0.0007038264],"genre_scores_gemma":[0.9953425,0.0001587955,0.0009811706,0.00004301269,0.00001253168,0.00001860604,0.001438777,0.00001394488,0.001990624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008423223,"threshold_uncertainty_score":0.01674837,"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."}}