{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004134114,0.0003017126,0.0004510575,0.0001186859,0.0004959844,0.00002000695,0.0006639445,0.0001445005,0.0002053301],"category_scores_gemma":[0.00008400833,0.0003046255,0.0001729992,0.0004182601,0.0003372498,0.000005399867,0.001188468,0.0003202429,0.00001354969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001648444,"about_ca_system_score_gemma":0.0002248257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005146182,"about_ca_topic_score_gemma":0.00009557451,"domain_scores_codex":[0.997476,0.0005168098,0.0005093751,0.0007031432,0.0001882236,0.0006063842],"domain_scores_gemma":[0.9989115,0.00003746178,0.0001959559,0.0006055556,0.000153719,0.00009577923],"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":[0.0006610338,0.0001440266,0.003278285,0.0000172706,0.0007465614,0.00001527308,0.0002711669,0.0008918594,0.9905177,0.000001835289,0.003421173,0.00003380364],"study_design_scores_gemma":[0.001602237,0.001873365,0.001370149,0.00001950692,0.0001049145,0.00001020331,0.002220199,0.0001454927,0.08445951,0.00001651595,0.9076706,0.0005073501],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883463,0.003824244,0.0001472159,0.0002284772,0.00008600725,0.000364787,0.00627748,0.00002364204,0.0007018499],"genre_scores_gemma":[0.9834079,0.00009261749,0.0004145913,0.0009591366,0.0001067741,0.0001119796,0.01321509,0.00004386556,0.001648046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9060582,"threshold_uncertainty_score":0.9999406,"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."}}