{"id":"W2989997342","doi":"10.1371/journal.pone.0225361","title":"Drug resistance and epidemiology characteristics of multidrug-resistant tuberculosis patients in 17 provinces of China","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Tuberculosis; Medicine; Extensively drug-resistant tuberculosis; Drug resistance; Epidemiology; Multiple drug resistance; Levofloxacin; Multi-drug-resistant tuberculosis; Disease; Amikacin; Internal medicine; Beijing; China; Mycobacterium tuberculosis; Antibiotics; Pathology; Biology; Geography; Microbiology","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":[0.0006487367,0.0003688724,0.0004652223,0.00125141,0.001004534,0.000514106,0.0005041459,0.0003827512,0.0007868418],"category_scores_gemma":[0.001403881,0.0004950424,0.000373745,0.001807594,0.0005445289,0.0003681165,0.000531181,0.000309236,0.00008224117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002103143,"about_ca_system_score_gemma":0.002848381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.133076,"about_ca_topic_score_gemma":0.1417587,"domain_scores_codex":[0.9992976,0.0001119588,0.000108108,0.0001597948,0.0001179431,0.0002045392],"domain_scores_gemma":[0.9989526,0.0001129918,0.0003023946,0.00008901337,0.0001662117,0.0003767602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004265469,0.0000221984,0.9984694,0.00000717045,0.00001864939,0.0001048651,0.000184748,0.00005038731,0.0002200284,0.00001305937,0.00004557535,0.0008211485],"study_design_scores_gemma":[0.000005927858,0.00003648328,0.999351,0.000002758859,0.000006128968,0.0001319751,0.0002233764,0.0001313064,0.00003201225,0.000008648565,0.00006674154,0.000003680656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996487,0.00006446576,0.0000207561,0.000029625,0.000001318362,0.000008322356,0.0001268973,0.000001490644,0.00009843578],"genre_scores_gemma":[0.9996271,0.00004623244,0.00003756775,0.00001928159,0.000002360152,0.000006668576,0.0001981481,6.804983e-7,0.00006200417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.133076,"threshold_uncertainty_score":0.2646027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02829611664785804,"score_gpt":0.2804227080061831,"score_spread":0.2521265913583251,"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."}}