{"id":"W2183477055","doi":"10.2807/1560-7917.es.2015.20.47.30073","title":"The utility of multiple molecular methods including whole genome sequencing as tools to differentiate Escherichia coli O157:H7 outbreaks","year":2015,"lang":"en","type":"article","venue":"Eurosurveillance","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Public Health Agency of Canada; Provincial Laboratory of Public Health; University of Alberta","funders":"Public Health Agency of Canada","keywords":"Escherichia coli; Outbreak; Genome; Computational biology; Whole genome sequencing; Biology; Genetics; Virology; Gene","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":[0.002086212,0.0006917901,0.0005900771,0.002081419,0.0003596004,0.001439399,0.0006220841,0.0005428029,0.0004478588],"category_scores_gemma":[0.002336052,0.0002971287,0.0002976887,0.001467545,0.0005385595,0.000450962,0.000604997,0.0004492596,0.0001753883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000853208,"about_ca_system_score_gemma":0.001321951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04073485,"about_ca_topic_score_gemma":0.1085871,"domain_scores_codex":[0.9985024,0.000347733,0.0001049263,0.0003046249,0.0005697093,0.00017068],"domain_scores_gemma":[0.9978147,0.0006448767,0.000499149,0.0001731979,0.0007087718,0.0001593223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005558159,0.0001730299,0.6246002,0.0004777691,0.0002235578,0.0003981704,0.000848493,0.002282124,0.2594613,0.0002821047,0.0004092485,0.1102881],"study_design_scores_gemma":[0.00001093839,0.0004483314,0.9459373,0.0001081218,0.0001899711,0.0008118597,0.0009418687,0.004512457,0.04383767,0.0003480853,0.002800575,0.00005269785],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712016,0.003998496,0.02014392,0.0002035889,0.00003950043,0.0001540507,0.001172577,0.0001469022,0.002939425],"genre_scores_gemma":[0.949654,0.002409347,0.04467954,0.0001566026,0.00002646183,0.00006931165,0.001447867,0.00002336201,0.001533429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04073485,"threshold_uncertainty_score":0.0809955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07959484223355483,"score_gpt":0.3614862282197205,"score_spread":0.2818913859861656,"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."}}