{"id":"W3015340109","doi":"10.1128/mra.00168-20","title":"Whole-Genome Draft Assemblies of Difficult-to-Classify Escherichia coli O157 and Non-O157 Isolates from Feces of Canadian Feedlot Cattle","year":2020,"lang":"en","type":"article","venue":"Microbiology Resource Announcements","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture Food and Rural Development; Alberta Ministry of Agriculture and Forestry; Agriculture and Agri-Food Canada","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Alberta Agriculture and Forestry","keywords":"Escherichia coli; Feces; Shiga toxin; Biology; Genome; Feedlot; Microbiology; Genetics; Gene; Animal science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001542487,0.0002885248,0.000483731,0.0001620468,0.0001510465,0.00002466329,0.0004483561,0.0002417685,0.00002525643],"category_scores_gemma":[0.0002408338,0.0002670765,0.00007502178,0.0004941069,0.000409764,0.000006623789,0.0005178003,0.0001747568,0.00002023753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003112386,"about_ca_system_score_gemma":0.0002026386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008525984,"about_ca_topic_score_gemma":0.01083409,"domain_scores_codex":[0.9982795,0.0001231735,0.0003955605,0.0005830054,0.00008975129,0.0005289881],"domain_scores_gemma":[0.9988981,0.00004157524,0.0002103591,0.0003149251,0.0002393268,0.0002956653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001740156,0.00006061688,0.0319415,0.00004974635,0.0003535261,0.000001687215,0.0009910481,0.00004470484,0.9580194,0.000001765661,0.008293733,0.00006823684],"study_design_scores_gemma":[0.001314769,0.001590898,0.04596908,0.0000549702,0.00006825603,0.000002481628,0.001914048,0.00002554259,0.1579475,0.000003659158,0.7906291,0.0004797014],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912131,0.001696977,0.0000478991,0.002109115,0.0000444094,0.0003974398,0.00380712,0.000009316706,0.0006746073],"genre_scores_gemma":[0.9948608,0.0002671467,0.0005459051,0.00127838,0.0001098497,0.00003587092,0.002458427,0.00003090363,0.0004126999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.800072,"threshold_uncertainty_score":0.9999781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558229257548107,"score_gpt":0.2364351124266749,"score_spread":0.2208528198511938,"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."}}