{"id":"W2166768393","doi":"10.1186/s12889-015-1480-4","title":"Modeling the impact of tuberculosis interventions on epidemiologic outcomes and health system costs","year":2015,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"United States Agency for International Development","keywords":"Medicine; Psychological intervention; Biostatistics; Tuberculosis; Public health; Environmental health; Population; Disease; Epidemiology; Cost–benefit analysis; Economic impact analysis; Intensive care medicine; Nursing; Pathology","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":[0.003309897,0.001216375,0.0008476598,0.001355685,0.0005436424,0.001980112,0.001416092,0.002257463,0.006876427],"category_scores_gemma":[0.01040249,0.0007162477,0.0018701,0.001459592,0.0008608888,0.001400713,0.001125473,0.001706456,0.0003113909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005276822,"about_ca_system_score_gemma":0.003424831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03152683,"about_ca_topic_score_gemma":0.01671791,"domain_scores_codex":[0.9979787,0.001382646,0.00006189148,0.0001429326,0.0001101884,0.0003236974],"domain_scores_gemma":[0.9909062,0.007672263,0.0006854893,0.0001047414,0.0003261946,0.0003050855],"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":[0.000101544,0.00006472495,0.004553294,0.0000455317,0.00008090851,0.00004768783,0.00002446521,0.9892343,0.00004974362,0.003677884,0.0002317284,0.001888245],"study_design_scores_gemma":[0.0001139393,0.0002181298,0.003071384,0.0000598157,0.0001697191,0.00004459728,0.0001194849,0.9852882,0.0001339814,0.009931953,0.0008276906,0.00002115582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8896275,0.002126753,0.07148631,0.004870982,0.0001646811,0.0006740099,0.004732145,0.0001234779,0.02619421],"genre_scores_gemma":[0.9873652,0.0008175039,0.007195719,0.000189874,0.00003154147,0.0003875236,0.0005924818,0.00001681843,0.003403415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03152683,"threshold_uncertainty_score":0.06268668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3503412781349184,"score_gpt":0.4970732967832535,"score_spread":0.1467320186483351,"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."}}