{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00148943,0.000460039,0.0001779658,0.001526194,0.0004692475,0.001843237,0.0006473628,0.000587606,0.008312162],"category_scores_gemma":[0.007882544,0.0002961064,0.001002283,0.00141045,0.0002643603,0.001780692,0.001266566,0.0009332399,0.000856682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007219546,"about_ca_system_score_gemma":0.003648135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03463947,"about_ca_topic_score_gemma":0.04454004,"domain_scores_codex":[0.9980204,0.0006701295,0.0001681858,0.0001152845,0.0007447769,0.0002811787],"domain_scores_gemma":[0.9963562,0.001032138,0.001373976,0.00009036419,0.0007990542,0.000348229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001663136,0.0008101787,0.3372855,0.00173153,0.0007784085,0.0007987054,0.0005234682,0.04277243,0.00168594,0.01665572,0.04983949,0.5454556],"study_design_scores_gemma":[0.0004251793,0.001805969,0.6525152,0.002889339,0.001355294,0.002639656,0.002621079,0.09742036,0.006151937,0.005785974,0.2262323,0.0001576074],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8343812,0.01561628,0.01281037,0.01473425,0.0004784272,0.001065091,0.04391095,0.0003480469,0.07665537],"genre_scores_gemma":[0.968726,0.004406095,0.005410492,0.0007114562,0.0001707125,0.0004701833,0.01127446,0.00002803937,0.008802618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03463947,"threshold_uncertainty_score":0.06887573,"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."}}