{"id":"W2784230435","doi":"10.5555/3242181.3242268","title":"Exploring the epidemiological impact of universal access to rapid tuberculosis diagnosis using agent-based simulation","year":2017,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Incidence (geometry); Tuberculosis; Medicine; Population; Environmental health; Mathematics","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":[0.0008153113,0.0002127044,0.0005269241,0.0001938341,0.0003127814,0.0001010885,0.0004984491,0.00009850901,0.0005939849],"category_scores_gemma":[0.006443761,0.0001350425,0.0003239197,0.0001445796,0.0002066508,0.000612942,0.0002422452,0.0002477854,0.00002434512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000208293,"about_ca_system_score_gemma":0.0001410961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009557235,"about_ca_topic_score_gemma":0.00003705744,"domain_scores_codex":[0.9980658,0.0004012919,0.0004864024,0.0003833892,0.0002663502,0.0003968226],"domain_scores_gemma":[0.995875,0.002299678,0.0002775036,0.0008203692,0.0004644174,0.0002630193],"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":[0.0003891932,0.00005378742,0.4084561,0.00001839095,0.00009188595,0.000004462891,0.0001130588,0.5778552,0.0005633119,0.00003150097,0.00008037508,0.01234267],"study_design_scores_gemma":[0.0003938316,0.000232732,0.4945502,0.0001063071,0.00004231089,7.348273e-7,0.00001937669,0.5040097,0.0003734157,0.00003099192,0.0001642983,0.00007608079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9355328,0.00001742062,0.0588063,0.004574357,0.0001422082,0.0005805485,0.00002082038,0.00003400157,0.0002915424],"genre_scores_gemma":[0.9986598,0.0000342184,0.0004519933,0.0006115542,0.0001534692,0.00004001956,0.00002006652,0.00001585471,0.0000130312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0860941,"threshold_uncertainty_score":0.7714249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4394201164383821,"score_gpt":0.4751017824602013,"score_spread":0.03568166602181921,"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."}}