{"id":"W2730206157","doi":"10.3389/fmicb.2017.01224","title":"A Genome-Wide Association Study to Identify Diagnostic Markers for Human Pathogenic Campylobacter jejuni Strains","year":2017,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Public Health Agency of Canada; University of Lethbridge","funders":"Alberta Livestock and Meat Agency; Government of Canada; Alberta Innovates; Alberta Innovates Bio Solutions; Canada's Michael Smith Genome Sciences Centre","keywords":"Campylobacter jejuni; Subtyping; Biology; Genome-wide association study; Genome; Genetics; Whole genome sequencing; Campylobacter; Gene; Computational biology; Single-nucleotide polymorphism; Genotype; Bacteria","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001399586,0.0003852289,0.0003381546,0.0009995188,0.0008883241,0.0008670721,0.0004858146,0.0006587901,0.001213941],"category_scores_gemma":[0.003241098,0.0002342225,0.0006510188,0.001706756,0.0005128214,0.0002050663,0.0004847282,0.0007873451,0.0001358403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007143884,"about_ca_system_score_gemma":0.001554425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08438224,"about_ca_topic_score_gemma":0.1210957,"domain_scores_codex":[0.9988733,0.0002355143,0.00006793506,0.0004634421,0.0001687237,0.0001910089],"domain_scores_gemma":[0.9983137,0.0006092676,0.0002742791,0.0002207054,0.0002463616,0.0003356718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004906709,0.00006011888,0.9909047,0.00002693587,0.0005289968,0.0002757071,0.0001571594,0.0001405282,0.003362537,0.00008419553,0.0003835048,0.003584924],"study_design_scores_gemma":[0.00002875903,0.00007895962,0.9979264,0.000008569152,0.0002231054,0.0002289464,0.0001409542,0.0005646262,0.0002132339,0.00004728259,0.0005339013,0.000005278838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977661,0.0004483817,0.0003370496,0.000142535,0.00001298948,0.00001508963,0.0007605631,0.0000104598,0.0005068248],"genre_scores_gemma":[0.998499,0.0001313977,0.0004466385,0.00006391258,0.000007156561,0.00000849725,0.0006229097,0.000004808479,0.0002155622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08438224,"threshold_uncertainty_score":0.1677821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164294864910608,"score_gpt":0.2804259161803722,"score_spread":0.2587829675312661,"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."}}