{"id":"W7162026442","doi":"10.82308/3903","title":"Predicting transmission of tuberculosis from patient attributes","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical screening; Human immunodeficiency virus (HIV); Transmission (telecommunications); Lung disease; Disease transmission","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003786979,0.0004069023,0.0005115931,0.001310291,0.0002995741,0.001072325,0.0005517724,0.0006351075,0.001671685],"category_scores_gemma":[0.02008671,0.0002184284,0.0006574816,0.001232252,0.0003359445,0.0004774086,0.0004990011,0.0009386118,0.0003685259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000759401,"about_ca_system_score_gemma":0.001229288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02312279,"about_ca_topic_score_gemma":0.02323285,"domain_scores_codex":[0.998971,0.0005206606,0.00008588046,0.0002025815,0.0001242289,0.00009569847],"domain_scores_gemma":[0.9878759,0.009362493,0.00125987,0.0005899795,0.0006047054,0.0003070295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001871466,0.00008157683,0.9701358,0.00004678201,0.0001013103,0.00009690408,0.0001724978,0.01241485,0.0004272338,0.0001427022,0.00040371,0.01578951],"study_design_scores_gemma":[0.00003993497,0.0002956414,0.7713343,0.00009100081,0.0002040744,0.00053375,0.0004338051,0.2227978,0.001475065,0.001288042,0.001472416,0.00003423571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856761,0.0003894206,0.01082073,0.0003378586,0.00001804615,0.00006683412,0.002089884,0.00007663972,0.0005244572],"genre_scores_gemma":[0.9934427,0.0001335162,0.004942141,0.00002812354,0.0000122601,0.00002946266,0.001170238,0.000006280899,0.000235165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02312279,"threshold_uncertainty_score":0.0459764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02810758708369927,"score_gpt":0.3213927854311623,"score_spread":0.2932851983474631,"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."}}