{"id":"W2588767567","doi":"10.1016/s2213-2600(17)30059-0","title":"The uncertain science of predicting tuberculosis","year":2017,"lang":"en","type":"letter","venue":"The Lancet Respiratory Medicine","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Latent tuberculosis; Tuberculosis; Medicine; Scopus; Tuberculin; Mycobacterium tuberculosis; Immunology; MEDLINE; Family medicine; Pathology; Biology","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":[0.01837538,0.001099306,0.002863738,0.001707717,0.004510216,0.007219296,0.003907033,0.08151031,0.007962209],"category_scores_gemma":[0.1601227,0.001491323,0.001477613,0.001196176,0.01231811,0.01129684,0.004772108,0.09727523,0.008078906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006132437,"about_ca_system_score_gemma":0.009155829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007633073,"about_ca_topic_score_gemma":0.008263071,"domain_scores_codex":[0.9810482,0.01010598,0.00190121,0.001498292,0.004121617,0.001324546],"domain_scores_gemma":[0.8686922,0.09934933,0.005534834,0.002996733,0.01279856,0.0106284],"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":[0.00007048816,0.00003023032,0.001132493,0.0001126908,0.00004042868,0.0006781665,0.0002112008,0.00006811936,0.00008658104,0.006453675,0.9771524,0.01396365],"study_design_scores_gemma":[0.0003426552,0.0001246934,0.001908764,0.001881458,0.0001230858,0.001890584,0.001624807,0.001075614,0.0002968784,0.1112422,0.8793027,0.0001865619],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00007877995,0.001233265,0.00002636939,0.9908711,0.007321381,0.000001739668,0.00001656134,0.000003734693,0.0004470563],"genre_scores_gemma":[0.002907021,0.002045508,0.0001121974,0.9009029,0.09302379,0.00001573485,0.00002429781,0.00001288746,0.0009556212],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08151031,"threshold_uncertainty_score":0.09717947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1257701599852638,"score_gpt":0.4046709744748283,"score_spread":0.2789008144895646,"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."}}