{"id":"W4286492465","doi":"10.1128/mra.00371-22","title":"Whole-Genome Sequencing Analyses of Heat-Resistant Escherichia coli Isolated from Brazilian Beef","year":2022,"lang":"en","type":"article","venue":"Microbiology Resource Announcements","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de Mato Grosso; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Ministério da Ciência, Tecnologia e Inovação","keywords":"Escherichia coli; Biology; Locus (genetics); Genetics; Gene; Genome; Heat resistance; DNA sequencing; Heat stress; Whole genome sequencing; Microbiology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002377384,0.0004672813,0.0003895767,0.001322578,0.0003889847,0.0004022169,0.0002662899,0.0002991114,0.00127503],"category_scores_gemma":[0.0008451279,0.0001940497,0.0006139611,0.001694832,0.0001955242,0.0001235136,0.0002873325,0.0004208475,0.0004673924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003550429,"about_ca_system_score_gemma":0.0005814432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01207299,"about_ca_topic_score_gemma":0.01864715,"domain_scores_codex":[0.9998067,0.00002260885,0.0000180094,0.00005923448,0.00004947155,0.0000440478],"domain_scores_gemma":[0.9994986,0.000101263,0.000135411,0.00005213151,0.0001302877,0.00008238289],"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":[0.0003988743,0.00004787196,0.01069791,0.0002460453,0.00005176095,0.0002124677,0.0003987233,0.0002454339,0.9807041,0.000053556,0.0001876318,0.006755653],"study_design_scores_gemma":[0.00004588795,0.000579225,0.8328555,0.00009613956,0.0004499236,0.001747777,0.001208451,0.001263152,0.1483777,0.0001071773,0.01323147,0.00003747456],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972432,0.0005994828,0.002147648,0.00009756989,0.00001295319,0.00008312234,0.02327085,0.00007223785,0.001284043],"genre_scores_gemma":[0.9274776,0.001042089,0.0104737,0.0001671226,0.00001377073,0.00009345137,0.05770348,0.0001278583,0.00290103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01207299,"threshold_uncertainty_score":0.02400541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0260172861173023,"score_gpt":0.2891158342324526,"score_spread":0.2630985481151503,"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."}}