{"id":"W2577983411","doi":"10.1186/s12889-016-3996-7","title":"Stochastic agent-based modeling of tuberculosis in Canadian Indigenous communities","year":2017,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Nunavut Research Institute; Public Health Agency of Canada; University of Toronto; Public Health Ontario","funders":"Canada Research Chairs; Public Health Agency; Public Health Agency of Canada","keywords":"Medicine; Contact tracing; Tuberculosis; Psychological intervention; Biostatistics; Environmental health; Population; Relative risk; Epidemiology; Public health; Transmission (telecommunications); Demography; Disease; Latent tuberculosis; Disease burden; Incidence (geometry); Infectious disease (medical specialty); Mycobacterium tuberculosis; Internal medicine; Confidence interval; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001049988,0.0009592372,0.001045547,0.001006495,0.001762025,0.00216782,0.002798979,0.001656718,0.003223898],"category_scores_gemma":[0.004192138,0.0006155783,0.0009668128,0.001188144,0.001564664,0.0006560473,0.001218154,0.001139047,0.000246362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01485997,"about_ca_system_score_gemma":0.01227099,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9258952,"about_ca_topic_score_gemma":0.7979748,"domain_scores_codex":[0.9993669,0.0001906313,0.00002474319,0.00009567615,0.0001141229,0.0002078815],"domain_scores_gemma":[0.9984387,0.000649833,0.0002312009,0.0000367477,0.0004484688,0.000195124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002538155,0.00001486253,0.00354633,0.00002226875,0.00002689554,0.0000762239,0.00006648195,0.9853661,0.00007746804,0.008932953,0.0008239902,0.001021049],"study_design_scores_gemma":[0.000026018,0.000008284823,0.001196149,0.000008597658,0.00001580388,0.00001173274,0.00006431067,0.9960529,0.0000199164,0.001694314,0.0008909059,0.0000111705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8017966,0.00305169,0.1210684,0.007217693,0.0003444288,0.0003767696,0.009146911,0.0006116931,0.05638568],"genre_scores_gemma":[0.978179,0.0008118522,0.007727059,0.0001794609,0.000048588,0.0001484676,0.001015895,0.00003339525,0.01185626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07410479,"threshold_uncertainty_score":0.1490824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1545618712717422,"score_gpt":0.3947538769479647,"score_spread":0.2401920056762225,"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."}}