{"id":"W4327966071","doi":"10.1101/2023.03.18.23287420","title":"Costs of digital adherence technologies for tuberculosis treatment support","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Global Affairs Canada; Bill and Melinda Gates Foundation","keywords":"Tanzania; Pill; Yield (engineering); Tuberculosis; Economies of scale; Medicine; Total cost; Developing country; Business; Operations management; Economics; Economic growth; Socioeconomics; Nursing; Marketing; Accounting","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019187,0.0004951127,0.0002379488,0.001621471,0.0004886274,0.001900952,0.0007013722,0.0004887002,0.01175705],"category_scores_gemma":[0.0127569,0.0002728852,0.001123958,0.002146185,0.0003459115,0.001506575,0.001297924,0.0008622951,0.0007216065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007265625,"about_ca_system_score_gemma":0.002464588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02452472,"about_ca_topic_score_gemma":0.02784635,"domain_scores_codex":[0.9959918,0.001892029,0.0002957841,0.0002552134,0.001249226,0.000316111],"domain_scores_gemma":[0.9924392,0.003037093,0.002742531,0.000212459,0.001187817,0.0003809548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001524305,0.0006643058,0.4689064,0.002419778,0.0008672295,0.0006555466,0.0005550626,0.04720281,0.001203657,0.0135872,0.02478572,0.4376279],"study_design_scores_gemma":[0.0003383754,0.002311378,0.7723116,0.003039354,0.001579741,0.001891775,0.002938885,0.1272849,0.004923345,0.007361903,0.07584414,0.0001747347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8755456,0.009919849,0.01168929,0.006912673,0.0003093528,0.001644988,0.0283493,0.0002281207,0.06540073],"genre_scores_gemma":[0.9872817,0.00141916,0.004391805,0.0003479921,0.00005964228,0.0003708454,0.002604128,0.00001299406,0.003511779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02452472,"threshold_uncertainty_score":0.05271608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1304220745406772,"score_gpt":0.4535928979255003,"score_spread":0.3231708233848231,"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."}}