{"id":"W3038572111","doi":"10.1371/journal.pone.0235572","title":"Drones and digital adherence monitoring for community-based tuberculosis control in remote Madagascar: A cost-effectiveness analysis","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Government of Canada; Bill and Melinda Gates Foundation","keywords":"Psychological intervention; Activity-based costing; Cost-effectiveness analysis; Tuberculosis; Cost effectiveness; Medicine; Health care; Cost–benefit analysis; Environmental health; Population; Marginal cost; Business; Risk analysis (engineering); Nursing; Pathology; Economic growth","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009114059,0.00008867319,0.0002191158,0.0000776183,0.00005807552,0.00005578223,0.00006926349,0.00004223493,0.000002221548],"category_scores_gemma":[0.00003982979,0.0001003033,0.00003675617,0.0004272777,0.00001435864,0.0001093334,0.00001160434,0.0001104645,0.00000177397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004074231,"about_ca_system_score_gemma":0.000005192037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005594058,"about_ca_topic_score_gemma":0.0000198675,"domain_scores_codex":[0.9995539,0.00003399533,0.0001268074,0.0001032431,0.00007402732,0.0001080117],"domain_scores_gemma":[0.9994956,0.0002521772,0.00001857243,0.0001295631,0.00004954384,0.00005451017],"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":[0.0001844102,0.0005745348,0.2640311,0.001415382,0.001759661,0.000001278989,0.0008076561,0.6758627,0.0408375,0.00004095926,0.000006046107,0.0144788],"study_design_scores_gemma":[0.0008301034,0.00005585438,0.01839204,0.00006924877,0.0003273995,4.795262e-8,0.00004914025,0.9725619,0.007551631,0.00003219388,0.00001215033,0.0001183087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7046085,0.00008197206,0.294415,0.00008448232,0.000004857607,0.0005956081,0.00006446931,0.00009504501,0.00005006102],"genre_scores_gemma":[0.9948446,0.00002470929,0.00481451,0.00002257773,0.00002166763,0.0001923379,0.00006097429,0.00001715475,0.000001504515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2966992,"threshold_uncertainty_score":0.4090249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05969949844596495,"score_gpt":0.248457680785715,"score_spread":0.1887581823397501,"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."}}