{"id":"W4390022388","doi":"10.3201/eid3001.230427","title":"Costs of Digital Adherence Technologies for Tuberculosis Treatment Support, 2018–2021","year":2023,"lang":"en","type":"article","venue":"Emerging infectious diseases","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Tanzania; Tuberculosis; Drug resistant tuberculosis; Medicine; Yield (engineering); Drug prices; Business; Mycobacterium tuberculosis; Socioeconomics; Economics; Public economics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001006045,0.0001890746,0.0004587185,0.0003508809,0.0001071338,0.00001927279,0.00008862121,0.0000964596,0.0001672057],"category_scores_gemma":[0.001975632,0.0001493527,0.0003058738,0.0005252215,0.0001736474,0.0001149381,0.00007641617,0.00007646674,0.0001597793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001834917,"about_ca_system_score_gemma":0.0001363381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001534973,"about_ca_topic_score_gemma":0.00003362749,"domain_scores_codex":[0.9986237,0.00003101084,0.0003177064,0.0003473635,0.0001764905,0.0005037389],"domain_scores_gemma":[0.9987761,0.0004910291,0.0000828573,0.0003651255,0.0001232265,0.0001616485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002126158,0.0006020478,0.7796721,0.0002053575,0.0005536373,0.00005157285,0.00007394407,0.00008069852,0.0009507849,0.0003815316,0.05580967,0.161406],"study_design_scores_gemma":[0.02137882,0.03979922,0.657153,0.001264581,0.002973494,0.0003661823,0.005624613,0.008099935,0.02218873,0.01434235,0.2243854,0.002423596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989221,0.0009472441,0.0001695015,0.004077067,0.0002947073,0.001048686,0.0006686628,0.0009958764,0.002577242],"genre_scores_gemma":[0.9965649,0.001693746,0.00003046089,0.00005723245,0.00009716016,0.0004642598,0.0003831327,0.00002710519,0.0006820168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1685758,"threshold_uncertainty_score":0.6090426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03008771288485854,"score_gpt":0.3440670755227287,"score_spread":0.3139793626378702,"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."}}