{"id":"W2132819103","doi":"10.1086/523109","title":"Transmission Network Analysis in Tuberculosis Contact Investigations","year":2007,"lang":"en","type":"article","venue":"The Journal of Infectious Diseases","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Tuberculosis; Transmission (telecommunications); Mycobacterium tuberculosis; Contact tracing; Disease transmission; Mycobacterium tuberculosis complex; Infectious disease (medical specialty); Disease; Medicine; Virology; Computer science; Pathology; Telecommunications; Coronavirus disease 2019 (COVID-19)","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":[],"consensus_categories":[],"category_scores_codex":[0.001920643,0.000104155,0.0004479417,0.0004916019,0.0001072906,0.000009191645,0.00009722048,0.00006339876,0.0001613257],"category_scores_gemma":[0.000872741,0.0000599157,0.0003436618,0.001326513,0.00009144672,0.00009183459,0.00001422112,0.0003754635,0.000006485223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001318202,"about_ca_system_score_gemma":0.0001417925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002920993,"about_ca_topic_score_gemma":0.0003781116,"domain_scores_codex":[0.9983858,0.0003564954,0.0005807043,0.00007935819,0.0002689163,0.0003286739],"domain_scores_gemma":[0.9979327,0.001127776,0.0001856684,0.0001656725,0.0001723643,0.000415815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005229003,0.0002252221,0.9863346,0.00001834862,0.0009076105,0.00006485687,0.0001524573,0.005119842,0.0006903476,0.00009871754,0.002616114,0.003248955],"study_design_scores_gemma":[0.0009926546,0.0004587043,0.9934304,0.00008406465,0.001815601,0.0001819475,0.00009524397,0.0005670596,0.0001146401,0.001169883,0.001028144,0.00006162457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887238,0.002939839,0.003864368,0.003214319,0.00006186582,0.0001441149,0.000002795054,0.00001540621,0.001033554],"genre_scores_gemma":[0.9968544,0.001436191,0.0001017062,0.001282462,0.0002878257,0.000001664851,0.000006039719,0.000008699221,0.00002105815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008130616,"threshold_uncertainty_score":0.2443291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609619146505729,"score_gpt":0.3182145707770371,"score_spread":0.3021183793119798,"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."}}