{"id":"W4229841771","doi":"10.1016/b978-0-12-803678-5.00472-0","title":"Tuberculosis Prevention","year":2016,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Tuberculosis; Medicine; Disease; Latent tuberculosis; Mycobacterium tuberculosis; Outbreak; Drug resistance; Population; Public health; Infectious disease (medical specialty); Contact tracing; Intensive care medicine; Immunology; Environmental health; Virology; Pathology; Biology; Microbiology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005085431,0.0004263545,0.0009562835,0.0002774828,0.00008024633,0.00001298064,0.0001679357,0.0006800783,0.002806588],"category_scores_gemma":[0.0001728943,0.0002974869,0.0006412079,0.00001027721,0.0002193991,0.00003386591,0.0001371919,0.0006611936,0.003129871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002222464,"about_ca_system_score_gemma":0.0002352661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.190483e-7,"about_ca_topic_score_gemma":0.00001379884,"domain_scores_codex":[0.9977354,0.0000731229,0.0005867702,0.0006142916,0.0004400649,0.000550285],"domain_scores_gemma":[0.9982769,0.0001589369,0.000179799,0.0007894614,0.0001725896,0.000422293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001028176,0.00001508318,0.00006924961,0.0001615368,0.0004742341,0.00007956532,0.00001623298,1.288191e-8,0.0002233679,0.009596172,0.004426383,0.9848353],"study_design_scores_gemma":[0.0006707084,0.0003917055,0.0002476428,0.00125061,0.0003097364,0.0001472427,0.000001265831,0.000001587842,0.00007954425,0.02558979,0.9710146,0.0002956213],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009456634,0.001887681,0.000007133401,0.002589809,0.0002320518,0.0008657526,0.00003627724,0.0001125333,0.9941742],"genre_scores_gemma":[0.0007091773,0.001265749,0.0002482661,0.001457208,0.001070732,0.00007764094,0.00006298871,0.0001196644,0.9949886],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9845397,"threshold_uncertainty_score":0.9999477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03238226215965119,"score_gpt":0.3190347036346761,"score_spread":0.2866524414750249,"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."}}