{"id":"W6960907321","doi":"10.1371/journal.pone.0266829.t002","title":"Frequencies of acquired antimicrobial resistance genes identified using whole-genome sequence data from phenotypically resistant &lt;i&gt;Escherichia coli&lt;/i&gt; isolates from wildlife, swine manure pits, and environmental sources in southern Ontario, Canada 2011−2013 (n = 200).","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Manure; Gene; Antibiotic resistance; Sequence (biology); Antimicrobial; Resistance (ecology); Bacteria; Strain (injury)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008765445,0.0009939176,0.001071004,0.002659225,0.001683671,0.001512944,0.001949614,0.0009376031,0.02643821],"category_scores_gemma":[0.004604359,0.0005573467,0.0007497321,0.008253581,0.0004366889,0.0004386489,0.0009742118,0.0009610037,0.008443431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006120298,"about_ca_system_score_gemma":0.01394011,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8986372,"about_ca_topic_score_gemma":0.9540101,"domain_scores_codex":[0.9993845,0.00003386996,0.00005131488,0.000196648,0.0001713402,0.0001622169],"domain_scores_gemma":[0.9963851,0.0006545397,0.0003627893,0.0004067821,0.001761746,0.0004291382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001537062,0.00002094463,0.02965116,0.001259202,0.0001839128,0.00006561448,0.0002124092,0.0006341874,0.0003382107,0.0005730296,0.9622804,0.00462728],"study_design_scores_gemma":[0.0005652037,0.00002461561,0.3579959,0.001359725,0.0003596921,0.0001420459,0.000719505,0.0007708226,0.0004768401,0.0006654882,0.6368422,0.00007813698],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009709485,0.00006325422,0.00003039962,0.00002739019,0.000005866241,0.000006603012,0.9983474,0.00002767964,0.0005205125],"genre_scores_gemma":[0.003869575,0.0001047285,0.000222811,0.0000373472,0.000003437104,0.00004899463,0.9946886,0.00002749952,0.0009970039],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1013628,"threshold_uncertainty_score":0.2039194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02341015480230794,"score_gpt":0.2070538370325885,"score_spread":0.1836436822302805,"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."}}