{"id":"W2185246203","doi":"10.1183/13993003.00788-2015","title":"Accelerating tuberculosis elimination in low-incidence settings: the role of genomics","year":2015,"lang":"en","type":"letter","venue":"European Respiratory Journal","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; University of British Columbia","funders":"","keywords":"Tuberculosis; Incidence (geometry); Mycobacterium tuberculosis; Epidemiology; Psychological intervention; Medicine; Genomics; Intensive care medicine; Environmental health; Genome; Biology; Genetics; Pathology; Nursing","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":[0.004775304,0.000885423,0.001172633,0.0005725739,0.002604608,0.003682298,0.001712208,0.02312117,0.004098967],"category_scores_gemma":[0.02234114,0.0004195733,0.000727706,0.0005000524,0.004017432,0.007301828,0.002604435,0.0348477,0.00318247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003217432,"about_ca_system_score_gemma":0.002295008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002044074,"about_ca_topic_score_gemma":0.003135587,"domain_scores_codex":[0.9959832,0.00152284,0.0004239814,0.0006616174,0.001045426,0.0003628878],"domain_scores_gemma":[0.9862717,0.008991309,0.0006970664,0.0004293629,0.001604775,0.002005782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001008872,0.00009190461,0.001958622,0.0004294585,0.00003365915,0.005394479,0.0006401774,0.0002364118,0.000757698,0.01400266,0.8891084,0.08724563],"study_design_scores_gemma":[0.0001522553,0.0003602496,0.00275877,0.001682567,0.00005931511,0.01955437,0.001327598,0.001576472,0.000852651,0.05768794,0.9138722,0.0001157207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003409614,0.005165358,0.0005470475,0.9871957,0.005742626,0.000008169442,0.00001383705,0.00002149801,0.0009647158],"genre_scores_gemma":[0.011164,0.01068851,0.002043063,0.9184248,0.05575042,0.00003101139,0.0000288159,0.00003333208,0.0018361],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02312117,"threshold_uncertainty_score":0.02525449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04639801238181434,"score_gpt":0.3115238371042638,"score_spread":0.2651258247224494,"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."}}