{"id":"W2032015927","doi":"10.1128/aem.03460-13","title":"Investigating the Responses of Cronobacter sakazakii to Garlic-Drived Organosulfur Compounds: a Systematic Study of Pathogenic-Bacterium Injury by Use of High-Throughput Whole-Transcriptome Sequencing and Confocal Micro-Raman Spectroscopy","year":2013,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Enterobacteriaceae and Cronobacter Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences","keywords":"Cronobacter sakazakii; Organosulfur compounds; Biology; Transcriptome; Bacteria; Microbiology; Computational biology; Chemistry; Genetics; Gene; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001651346,0.0002582957,0.0005312898,0.00005404328,0.00008030739,0.00003486403,0.0002166888,0.0001462593,0.00001716739],"category_scores_gemma":[0.00001365679,0.0001972761,0.00004829524,0.00005397302,0.0006265512,0.00001465526,0.0003417682,0.0001258572,0.000003810124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002993927,"about_ca_system_score_gemma":0.0000233095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003018603,"about_ca_topic_score_gemma":0.00003139331,"domain_scores_codex":[0.9983508,0.0002498769,0.0005934803,0.0004358269,0.00006855178,0.0003014617],"domain_scores_gemma":[0.9991748,0.00006254625,0.0002505087,0.0004021595,0.00001904778,0.00009094769],"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":[0.0001638743,0.0001665374,0.02077302,0.0003872173,0.0001839966,3.859726e-7,0.001183013,0.000001169807,0.9770044,0.000003598439,0.0001083445,0.0000244625],"study_design_scores_gemma":[0.0008800015,0.001325585,0.03358235,0.0001145582,0.00007002672,0.00002815859,0.003299007,0.000001082429,0.9603987,0.00000650152,0.00010514,0.0001888398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998045,0.0001646545,0.00004867383,0.00005770374,0.00003198505,0.001234892,0.0004094022,0.000004545554,0.000003164199],"genre_scores_gemma":[0.9988374,0.00006825331,0.0004817336,0.0002074121,0.00001780409,0.000080506,0.0002440481,0.00002725501,0.00003564591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01660563,"threshold_uncertainty_score":0.8044685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013722915138323,"score_gpt":0.2189661955004935,"score_spread":0.2088289663491102,"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."}}