{"id":"W4229448737","doi":"10.2196/36242","title":"Unbalanced Risk of Pulmonary Tuberculosis in China at the Subnational Scale: Spatiotemporal Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Demography; Mainland China; China; Relative risk; Gini coefficient; Pulmonary tuberculosis; Tuberculosis; Geography; Environmental health; Inequality; Confidence interval; Internal medicine; Economic inequality","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002158511,0.0002465986,0.0004315213,0.001431049,0.0004019109,0.0006380308,0.0004453122,0.0002267632,0.0007335481],"category_scores_gemma":[0.004427806,0.0002392531,0.0009040009,0.002705506,0.0003981017,0.0007286935,0.001027742,0.0003600727,0.00008751309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034288,"about_ca_system_score_gemma":0.0008717999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05853721,"about_ca_topic_score_gemma":0.0497984,"domain_scores_codex":[0.9988421,0.0002937602,0.0001494066,0.0003697335,0.0001843765,0.0001606957],"domain_scores_gemma":[0.9966604,0.0007173127,0.001356492,0.000506896,0.0004794929,0.0002795149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000140955,0.000002892491,0.9971554,0.00001092396,0.00008947883,0.00005863812,0.0001387049,0.0006352807,0.00009449911,0.0001318465,0.00008825682,0.001580031],"study_design_scores_gemma":[0.000001248274,0.00001001595,0.9944359,0.000007623755,0.00004579452,0.00005661349,0.0001565655,0.004778252,0.00004805921,0.0001981459,0.0002567969,0.000004979258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996944,0.0004161903,0.001138501,0.0001768643,0.000006257637,0.00001046097,0.0008324076,0.000009680904,0.0004655548],"genre_scores_gemma":[0.9990208,0.00009807559,0.0002683933,0.00001539793,0.000004204305,0.000007105331,0.000517486,0.000002339289,0.00006624719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05853721,"threshold_uncertainty_score":0.116393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135924964403323,"score_gpt":0.3272508582649724,"score_spread":0.3058916086209391,"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."}}