{"id":"W2921811812","doi":"10.1093/cid/ciz219","title":"Building the Framework for Standardized Clinical Laboratory Reporting of Next-generation Sequencing Data for Resistance-associated Mutations in Mycobacterium tuberculosis Complex","year":2019,"lang":"en","type":"article","venue":"Clinical Infectious Diseases","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; University of British Columbia","funders":"U.S. Food and Drug Administration; National Institutes of Health; Fogarty International Center; Gilead Foundation; University of North Carolina; World Health Organization; National Institute for Health and Care Research; National Institute of Allergy and Infectious Diseases; Bill and Melinda Gates Foundation","keywords":"Medicine; Mycobacterium tuberculosis; Tuberculosis; Terminology; Mycobacterium tuberculosis complex; DNA sequencing; Clinical microbiology; Computational biology; Data science; Biology; Genetics; Pathology; Computer science; Gene; 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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3250736,0.002591241,0.002263054,0.01577057,0.004858798,0.02305847,0.01009441,0.008797676,0.00440929],"category_scores_gemma":[0.3145053,0.002646186,0.003977684,0.008286303,0.01058747,0.01999237,0.01541835,0.01448214,0.006706982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0123369,"about_ca_system_score_gemma":0.05920776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01029603,"about_ca_topic_score_gemma":0.00659465,"domain_scores_codex":[0.6954705,0.1624429,0.09185509,0.01056478,0.03391807,0.005748704],"domain_scores_gemma":[0.6258003,0.1445722,0.03684374,0.05193892,0.1289562,0.01188873],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003622004,0.0006135805,0.006143479,0.006497271,0.0001886058,0.002498584,0.01634641,0.007478024,0.008424639,0.4306653,0.1265197,0.3942623],"study_design_scores_gemma":[0.0001767941,0.0007426581,0.004710634,0.01766468,0.0002795066,0.002543687,0.007188301,0.01141663,0.008880468,0.1293332,0.8164782,0.0005851305],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005693296,0.004843611,0.8781445,0.0719099,0.006273017,0.01044142,0.001841848,0.006228508,0.01462378],"genre_scores_gemma":[0.01852734,0.003071262,0.959587,0.006170271,0.001665663,0.005012469,0.002387498,0.0007543896,0.002824054],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6749264,"threshold_uncertainty_score":0.8323044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2877643290897293,"score_gpt":0.4907383014916619,"score_spread":0.2029739724019326,"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."}}