{"id":"W3201374384","doi":"10.5588/ijtld.21.0290","title":"Impact of COVID-19 on TB detection in the private sector in Nepal","year":2021,"lang":"en","type":"article","venue":"The International Journal of Tuberculosis and Lung Disease","topic":"HIV/AIDS Impact and Responses","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Betacoronavirus; Private sector; Coronavirus Infections; Virology; Pandemic; MEDLINE; Environmental health; Economic growth; Internal medicine; Outbreak","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007080309,0.0000736592,0.0001614714,0.0002530078,0.00003239585,0.000062224,0.0002367304,0.00002512861,0.0001630969],"category_scores_gemma":[0.0006234051,0.00004448894,0.0001782185,0.0001578811,0.00003536589,0.0001121844,0.00002966371,0.0001545266,0.00000322402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001827419,"about_ca_system_score_gemma":0.0001016263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001966924,"about_ca_topic_score_gemma":0.00007487576,"domain_scores_codex":[0.9992286,0.00008441374,0.000406547,0.00008609158,0.0001030856,0.00009127403],"domain_scores_gemma":[0.9992593,0.0002513128,0.000249219,0.0001077104,0.00004317094,0.00008929988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002840917,0.0007562808,0.9757692,0.00004133485,0.0005131714,0.000299589,0.003337645,0.004081528,0.0009722249,0.006837606,0.001271284,0.00327917],"study_design_scores_gemma":[0.0009787986,0.0001156347,0.9889717,0.00005898849,0.00002079376,0.00005621664,0.0002110017,0.003185004,0.0001405611,0.005237308,0.0009452898,0.00007871386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908451,0.001695428,0.00008707611,0.006860608,0.0001635419,0.00005719681,0.00008707394,0.000001251202,0.000202718],"genre_scores_gemma":[0.9985152,0.000643659,0.000007950866,0.0006665911,0.0001155361,0.00000216656,0.000002449087,0.000005243108,0.00004121898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01320244,"threshold_uncertainty_score":0.1814206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02503989278606475,"score_gpt":0.301138568623154,"score_spread":0.2760986758370892,"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."}}