{"id":"W2006435715","doi":"10.1371/journal.pone.0054235","title":"Development of a Simple Reliable Radiographic Scoring System to Aid the Diagnosis of Pulmonary Tuberculosis","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; McGill University","funders":"European and Developing Countries Clinical Trials Partnership; Medical Research Council; Grand Challenges Canada; National Research Foundation; European Commission; Canadian Institutes of Health Research; Shastri Indo-Canadian Institute; McGill University Health Centre; McGill University","keywords":"Medicine; Chest radiograph; Radiography; Context (archaeology); Sputum; Pleural effusion; Tuberculosis; Predictive value; Radiology; Pulmonary tuberculosis; Predictive value of tests; Internal medicine; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008692122,0.0009322895,0.0008279525,0.003504226,0.0003087534,0.001051964,0.001058488,0.0008817292,0.002750079],"category_scores_gemma":[0.02006186,0.0002884854,0.0005681674,0.001197808,0.0006425802,0.001007117,0.001057676,0.0007595373,0.001679575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005250428,"about_ca_system_score_gemma":0.00154731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062285,"about_ca_topic_score_gemma":0.001482313,"domain_scores_codex":[0.9945958,0.002474281,0.0008331611,0.0002862943,0.001681277,0.0001291965],"domain_scores_gemma":[0.987064,0.003848485,0.00242527,0.0006564373,0.005526497,0.0004793837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008955788,0.0007191639,0.5546312,0.001291604,0.0002770663,0.0003529529,0.0002596284,0.004030783,0.01916735,0.001219747,0.01191129,0.4052437],"study_design_scores_gemma":[0.0007136603,0.006787717,0.8901299,0.00109107,0.0004041601,0.005098163,0.0003758269,0.05832722,0.01346026,0.002988938,0.02039666,0.0002263862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6473191,0.006131353,0.3056866,0.004456322,0.0008760858,0.0115258,0.004798681,0.002030218,0.01717587],"genre_scores_gemma":[0.6424698,0.001316056,0.3478731,0.0003433199,0.0003209703,0.002722389,0.003294576,0.00007000917,0.001589699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008692122,"threshold_uncertainty_score":0.04596883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05852989205713594,"score_gpt":0.279306109237252,"score_spread":0.2207762171801161,"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."}}