{"id":"W2092103784","doi":"10.7717/peerj.806","title":"Population structure of <i>Neisseria gonorrhoeae</i> based on whole genome data and its relationship with antibiotic resistance","year":2015,"lang":"en","type":"article","venue":"PeerJ","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Centers for Disease Control and Prevention; National Institutes of Health; Medical Research Council; National Institute for Health and Care Research; National Institute of Allergy and Infectious Diseases; Broad Institute","keywords":"Neisseria gonorrhoeae; Gonorrhea; Antibiotic resistance; Population; Biology; Antibiotics; Cefixime; Genetics; Multilocus sequence typing; Microbiology; Azithromycin; Drug resistance; Medicine; Virology; Genotype; Cephalosporin; Gene; Environmental health","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":[0.0006262216,0.0001410714,0.0003345024,0.00156189,0.0003394063,0.0007825263,0.0002270869,0.0002766823,0.0008875648],"category_scores_gemma":[0.002403666,0.0001247778,0.0003207404,0.001368445,0.0003301298,0.0003265189,0.0003782032,0.0002797673,0.0002097423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003500836,"about_ca_system_score_gemma":0.0003203273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009025827,"about_ca_topic_score_gemma":0.008898414,"domain_scores_codex":[0.999558,0.00008694269,0.00003767249,0.0001947841,0.00006100241,0.00006155919],"domain_scores_gemma":[0.9990454,0.0002449233,0.0003493699,0.00009954379,0.0001722689,0.00008840606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001714333,0.00003015244,0.9364986,0.00007471802,0.0002144656,0.0001949843,0.001421838,0.0008308013,0.04657303,0.0005229766,0.0002321435,0.01323481],"study_design_scores_gemma":[0.000005717168,0.00004461327,0.995955,0.00001946209,0.00004289557,0.0002067316,0.0004044271,0.001538826,0.0006641222,0.0002044063,0.0009010784,0.00001284818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982221,0.0002285598,0.000668929,0.00002656537,0.000002505968,0.000007366258,0.0004545577,0.000007347476,0.0003821142],"genre_scores_gemma":[0.9974407,0.0001446295,0.0008017244,0.00002035445,0.000004482906,0.000006441099,0.001505891,0.000004661071,0.00007114612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009025827,"threshold_uncertainty_score":0.01794654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0503887032109989,"score_gpt":0.3027363893530853,"score_spread":0.2523476861420864,"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."}}