{"id":"W3197027706","doi":"10.1371/journal.pone.0257168","title":"Inconsistent PCR detection of Shiga toxin-producing Escherichia coli: Insights from whole genome sequence analyses","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; Agriculture and Agri-Food Canada; University of Calgary; University of Lethbridge","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Results Driven Agriculture Research","keywords":"STX2; Shiga toxin; Biology; Escherichia coli; Serotype; Whole genome sequencing; Microbiology; Virology; Genome; Polymerase chain reaction; Multiplex polymerase chain reaction; Gene; Genetics","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":[0.000753533,0.0004389832,0.0003525529,0.001056665,0.0002169861,0.0007221812,0.0002622441,0.0003380511,0.0002864097],"category_scores_gemma":[0.001306346,0.0002443057,0.0002292878,0.001042995,0.000291129,0.0002687084,0.0003179807,0.0002768114,0.000131704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003035621,"about_ca_system_score_gemma":0.0003145855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004344908,"about_ca_topic_score_gemma":0.009999556,"domain_scores_codex":[0.9995152,0.00006957213,0.00003978367,0.0001228353,0.0001946855,0.00005792422],"domain_scores_gemma":[0.9990439,0.0002856784,0.000271831,0.00006825398,0.0002635654,0.00006681609],"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":[0.0002007509,0.00004622354,0.1561147,0.0002676866,0.00006833222,0.0003259239,0.0008989433,0.0007988919,0.8259185,0.0001159554,0.0001167396,0.01512727],"study_design_scores_gemma":[0.000007264419,0.0002758349,0.8393867,0.00007790816,0.0002117539,0.00155301,0.001531578,0.005920846,0.1475405,0.0002675427,0.003196497,0.00003055292],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941241,0.0007411455,0.004025532,0.00004107289,0.000003299612,0.00001413964,0.0006119502,0.00004039661,0.0003983614],"genre_scores_gemma":[0.9837986,0.0009591286,0.01182169,0.00007790922,0.000004846038,0.00001586668,0.002820774,0.00003160903,0.0004696189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004344908,"threshold_uncertainty_score":0.008639216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09061663916484426,"score_gpt":0.2977900729458958,"score_spread":0.2071734337810516,"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."}}