{"id":"W3160307304","doi":"10.1128/msphere.00048-21","title":"Emergence of <i>Morganellaceae</i> Harboring <i>bla</i> <sub>IMP-27</sub> Metalloenzyme in Canada","year":2021,"lang":"en","type":"article","venue":"mSphere","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; Horizon Health Network; Public Health Ontario; BC Centre for Disease Control; Kelowna General Hospital; University of Manitoba; Institut National de Santé Publique du Québec; Provincial Laboratory of Public Health; University of Alberta; Toronto Public Health; Public Health Agency of Canada","funders":"","keywords":"Phylogenomics; Biology; Context (archaeology); Genome; Whole genome sequencing; Microbiology; Antimicrobial; Carbapenem; Genetics; Phylogenetics; Antibiotics; Gene; Clade","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.00009025044,0.0001687919,0.0002436872,0.00001061859,0.00002593041,0.0000111812,0.0002232591,0.00009275088,0.00023803],"category_scores_gemma":[0.00007975038,0.0001832409,0.00006631856,0.0002231476,0.00004260772,0.00000502622,0.0001345615,0.00009939062,0.000006907026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003895032,"about_ca_system_score_gemma":0.00101246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05196286,"about_ca_topic_score_gemma":0.7340197,"domain_scores_codex":[0.998726,0.00006140474,0.0003447745,0.0003793756,0.0001804614,0.0003080284],"domain_scores_gemma":[0.999233,0.00001230697,0.0001115585,0.0004655941,0.0001007075,0.00007680595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002225025,0.00002608066,0.08351133,0.00005462193,0.00003433168,0.00006095865,0.0000108279,0.00008847852,0.9061674,0.00002323309,0.009684677,0.0003157583],"study_design_scores_gemma":[0.000247281,0.00002167382,0.01326285,0.00004400439,0.00001430022,0.00001352121,0.0003161484,0.00001832536,0.9790541,0.0000148166,0.006793043,0.000199961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939989,0.002766484,0.000114117,0.0000825168,0.0004076326,0.0000805868,0.00002704616,0.000005006696,0.002517728],"genre_scores_gemma":[0.9978329,0.0008657526,0.0004902672,0.0001804851,0.0000816354,0.000002489827,0.00004204681,0.00002861815,0.0004758206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6820568,"threshold_uncertainty_score":0.9543502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005421736395346247,"score_gpt":0.1935979952327282,"score_spread":0.188176258837382,"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."}}