{"id":"W2786584331","doi":"10.1183/13993003.01488-2017","title":"The effect of text messaging on latent tuberculosis treatment adherence: a randomised controlled trial","year":2018,"lang":"en","type":"article","venue":"European Respiratory Journal","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; University of British Columbia","funders":"Institute of Health Services and Policy Research; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Medicine; Latent tuberculosis; Directly Observed Therapy; Intervention (counseling); Isoniazid; Tuberculosis; Randomized controlled trial; Physical therapy; Family medicine; Internal medicine; Nursing; Mycobacterium tuberculosis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008995266,0.0002589382,0.0006754578,0.0001355328,0.003377764,0.00002969524,0.0003261063,0.00008320664,0.0004289132],"category_scores_gemma":[0.001101999,0.0001300644,0.000319163,0.0001881735,0.0001709891,0.00004817549,0.00004444951,0.0007635779,0.0008425209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002732104,"about_ca_system_score_gemma":0.0006196796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001128195,"about_ca_topic_score_gemma":0.00001531491,"domain_scores_codex":[0.9877508,0.009177855,0.001681296,0.000278731,0.0004073814,0.0007039866],"domain_scores_gemma":[0.993678,0.003739908,0.001209695,0.0005619474,0.0002842783,0.000526141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8382298,0.0002202227,0.00431845,0.00009877316,0.0002557791,0.00002134665,0.0008039287,0.000008781361,0.0004694819,0.0005673728,0.02396422,0.1310418],"study_design_scores_gemma":[0.6855958,0.01090561,0.002757507,0.0002213723,0.0001157519,0.000004008307,0.00009670154,0.00002527305,0.0001798493,0.00001900739,0.29997,0.0001091551],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8929406,0.001086231,0.00004931995,0.0007989071,0.001991099,0.01385329,0.000007340589,0.00006447295,0.08920873],"genre_scores_gemma":[0.9888017,0.0005809376,0.00002151817,0.001628068,0.003045063,0.004067977,0.000001613444,0.00006097262,0.001792135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2760058,"threshold_uncertainty_score":0.9999354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04903602410590509,"score_gpt":0.4040789000632739,"score_spread":0.3550428759573688,"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."}}