{"id":"W4308336313","doi":"10.2807/1560-7917.es.2022.27.44.2101144","title":"mcr-1 colistin resistance gene sharing between Escherichia coli from cohabiting dogs and humans, Lisbon, Portugal, 2018 to 2020","year":2022,"lang":"en","type":"article","venue":"Eurosurveillance","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Medical Research Council; Joint Programming Initiative on Antimicrobial Resistance","keywords":"Colistin; Escherichia coli; Biology; Broth microdilution; Microbiology; MCR-1; Multilocus sequence typing; Antibiotic resistance; Plasmid; Antimicrobial; Gene; Enterobacteriaceae; Genetics; Minimum inhibitory concentration; Antibiotics; Genotype","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":[0.0003762166,0.0003031916,0.0003187754,0.0007386957,0.0007685017,0.0008284327,0.0002859805,0.0003708892,0.001763432],"category_scores_gemma":[0.001078704,0.0003560488,0.0002683372,0.0009406181,0.0004403289,0.0003235009,0.0006002706,0.00025392,0.0003336142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242804,"about_ca_system_score_gemma":0.00066942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04093128,"about_ca_topic_score_gemma":0.05304366,"domain_scores_codex":[0.9996638,0.00005533718,0.00002601231,0.0001046095,0.00004743552,0.0001027725],"domain_scores_gemma":[0.9993709,0.00005145683,0.0002556357,0.00005070914,0.0001241376,0.0001471909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002660432,0.00004334202,0.9944922,0.00004455951,0.00001812839,0.0006744826,0.00121045,0.00002288922,0.0007657229,0.0000209313,0.0002077169,0.002233554],"study_design_scores_gemma":[0.000004409922,0.0001249198,0.9963903,0.0000309727,0.00001137272,0.0008394268,0.001979618,0.00003485873,0.00009826654,0.00001222568,0.0004698241,0.000003875446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998798,0.0002164965,0.00003811545,0.00003579178,0.000003978287,0.000009806883,0.0005369579,0.00000206345,0.0003587696],"genre_scores_gemma":[0.9985037,0.0002184112,0.00009278804,0.00003741882,0.000006331636,0.00001306765,0.0007804396,0.000002085254,0.0003457632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04093128,"threshold_uncertainty_score":0.08138609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416611739177423,"score_gpt":0.244578205705049,"score_spread":0.2304120883132748,"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."}}