{"id":"W4394261477","doi":"10.6084/m9.figshare.23519972","title":"Additional file 1 of Disease burden of tuberculosis and post-tuberculosis in Inner Mongolia, China, 2016–2018 — based on the disease burden of post-TB caused by COPD","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital","funders":"","keywords":"Tuberculosis; Medicine; Disease; China; COPD; Inner mongolia; Disease burden; Burden of disease; Environmental health; Mycobacterium tuberculosis; Geography; Internal medicine; Pathology","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":[0.0009760062,0.0008387835,0.001135908,0.001684516,0.0004891365,0.0008446928,0.001662441,0.0008709996,0.2341421],"category_scores_gemma":[0.006468596,0.0004876042,0.001055904,0.004604361,0.0002014318,0.0009184473,0.0009507295,0.0007268559,0.02551584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160839,"about_ca_system_score_gemma":0.003369657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06684755,"about_ca_topic_score_gemma":0.07440642,"domain_scores_codex":[0.9994391,0.00009766743,0.0001157116,0.0001395079,0.00006768006,0.0001404438],"domain_scores_gemma":[0.9975328,0.000768643,0.0003941851,0.0002439327,0.0008322755,0.0002281074],"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":[0.0002297484,0.00004553031,0.01238273,0.003174338,0.0001552613,0.00004805406,0.00007723701,0.0005803476,0.00006371254,0.0006106645,0.9784966,0.004135794],"study_design_scores_gemma":[0.003352379,0.0002259942,0.223003,0.004614127,0.0006404422,0.0003305263,0.0007894597,0.002073397,0.0004992764,0.002518985,0.761825,0.0001273402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001883489,0.0000284879,0.00001726581,0.00003200861,0.000008058511,0.00001418435,0.9995223,0.00002314429,0.0001661227],"genre_scores_gemma":[0.005328117,0.0001096743,0.0002084714,0.0001100574,0.00002108466,0.0003148604,0.9926715,0.00003175541,0.001204501],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2341421,"threshold_uncertainty_score":0.7832832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02056154123429376,"score_gpt":0.280553844208133,"score_spread":0.2599923029738392,"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."}}