{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002307856,0.0005385469,0.0005902287,0.0003700952,0.0002371559,0.0003978024,0.0002120578,0.0004812642,0.0003244683],"category_scores_gemma":[0.0002595066,0.0001709122,0.0005063316,0.0003464777,0.000223725,0.000256474,0.0003694537,0.0003374675,0.0001579668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001973259,"about_ca_system_score_gemma":0.0002466953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007820671,"about_ca_topic_score_gemma":0.001065568,"domain_scores_codex":[0.9997529,0.0000321524,0.0000196995,0.0001005368,0.00005923435,0.00003545024],"domain_scores_gemma":[0.9998012,0.00003797692,0.00006814475,0.0000194393,0.00004992333,0.00002324805],"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":[0.00005688828,0.0000119089,0.001021725,0.00006837474,0.000008672941,0.00001869541,0.00002177941,0.0001086498,0.9972358,0.000008142161,0.000005447752,0.001433828],"study_design_scores_gemma":[0.000009826488,0.0008861332,0.09944049,0.000025468,0.0001264841,0.0002649025,0.0003283507,0.003947174,0.8931133,0.0001189716,0.001710093,0.00002882173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935418,0.0008526153,0.004184447,0.00005312013,0.00001171535,0.00005163228,0.0009177728,0.00006582504,0.0003209713],"genre_scores_gemma":[0.983044,0.001249817,0.01203126,0.0001483012,0.00001380105,0.0001479914,0.002107772,0.00004509893,0.0012119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007820671,"threshold_uncertainty_score":0.001555026,"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."}}