{"id":"W2139417329","doi":"10.1128/iai.00067-13","title":"Mapping and Regulation of Genes within Salmonella Pathogenicity Island 12 That Contribute to <i>In Vivo</i> Fitness of Salmonella enterica Serovar Typhimurium","year":2013,"lang":"en","type":"article","venue":"Infection and Immunity","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; McMaster University","keywords":"Biology; Salmonella enterica; Pathogenicity island; Virulence; Salmonella; Chromatin immunoprecipitation; Gene; Bacteriophage; Transcriptional regulation; Genetics; Microbiology; Reporter gene; Transcription (linguistics); Promoter; Transcription factor; Bacteria; Escherichia coli; Gene expression","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":[0.0001417917,0.0002606743,0.0001393695,0.0002457539,0.00009803497,0.0002317211,0.0001087511,0.0001609832,0.0005986519],"category_scores_gemma":[0.0001811384,0.0002152014,0.0001884852,0.0001216541,0.0002527979,0.00007769057,0.0001547891,0.0003201838,0.0003039577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002626995,"about_ca_system_score_gemma":0.0001581482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007356594,"about_ca_topic_score_gemma":0.001136199,"domain_scores_codex":[0.9998677,0.00003047249,0.000008013733,0.0000305784,0.00002840424,0.00003495901],"domain_scores_gemma":[0.9997776,0.00005375135,0.00006415146,0.00001701661,0.00003079823,0.00005669942],"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":[0.00004749468,0.000008408667,0.0006923566,0.00000893567,0.000001332815,0.00001640976,0.00001408719,0.00001991637,0.9988794,0.00001991931,0.00001069104,0.0002809814],"study_design_scores_gemma":[0.00002233732,0.0004379698,0.2259013,0.00001695151,0.00003431328,0.0003678855,0.0002745763,0.00157845,0.7700592,0.00009380966,0.001201093,0.0000121556],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982057,0.0001597373,0.0008709717,0.0000320795,0.000004994769,0.000007208963,0.0001814541,0.00002174746,0.0005162525],"genre_scores_gemma":[0.9969996,0.0001307065,0.001123917,0.00004161632,0.000005332287,0.00001709417,0.0005011796,0.00001613746,0.001164439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007356594,"threshold_uncertainty_score":0.002002656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288248179106144,"score_gpt":0.2214192831589034,"score_spread":0.198536801367842,"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."}}