{"id":"W3082537306","doi":"10.1016/j.jgar.2020.08.018","title":"Mobile colistin resistance gene mcr-1 detected on an IncI1 plasmid in Escherichia coli from meat","year":2020,"lang":"en","type":"article","venue":"Journal of Global Antimicrobial Resistance","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerie van Landbouw, Natuur en Voedselkwaliteit; Medical Research Council Canada; European Commission; National Institute for Health and Care Research; Horizon 2020 Framework Programme; UK Research and Innovation; Medical Research Council; Schlumberger Foundation","keywords":"Plasmid; Biology; Genetics; Escherichia coli; MCR-1; Gene; Mobile genetic elements; Transposition (logic); Lineage (genetic); Bacterial conjugation; Genome; Enterobacteriaceae","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002392539,0.0003875618,0.0005979448,0.00003970357,0.0001051521,0.0001039311,0.0008050202,0.0003106391,0.00003110023],"category_scores_gemma":[0.0004449268,0.0003825953,0.0001998885,0.000432877,0.0002023362,0.00003476881,0.0001156295,0.0003480146,0.00001578888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001931544,"about_ca_system_score_gemma":0.0003892381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003076429,"about_ca_topic_score_gemma":0.002040661,"domain_scores_codex":[0.9972442,0.0002629912,0.0009827939,0.000618565,0.0004083671,0.000483131],"domain_scores_gemma":[0.9981143,0.00003463865,0.0007536312,0.0004379036,0.0003280022,0.000331468],"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":[0.009348657,0.0002204063,0.009067692,0.00005132036,0.00007423042,0.0001906049,0.00006669039,0.0002186896,0.9645059,0.00006753167,0.01613141,0.00005684882],"study_design_scores_gemma":[0.004054646,0.001338857,0.1183109,0.0005791682,0.000077255,0.00002080975,0.000142934,0.0000398543,0.8144028,0.0001419986,0.06001956,0.0008712417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960575,0.000954585,0.0007172911,0.0004352974,0.00036916,0.0002807299,0.0004912281,0.00001755876,0.0006766781],"genre_scores_gemma":[0.9860262,0.0004246547,0.01117754,0.001362501,0.0006419686,0.000002773976,0.00005571521,0.00004224571,0.0002663511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1501031,"threshold_uncertainty_score":0.9998626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009564101404979182,"score_gpt":0.2454982333630469,"score_spread":0.2359341319580677,"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."}}