{"id":"W4360603216","doi":"10.1016/s2213-2600(23)00096-6","title":"Completion, safety, and efficacy of tuberculosis preventive treatment regimens containing rifampicin or rifapentine: an individual patient data network meta-analysis","year":2023,"lang":"en","type":"article","venue":"The Lancet Respiratory Medicine","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Centers for Disease Control and Prevention; U.S. Department of Health and Human Services; National Institutes of Health; Government of South Australia; Canadian Institutes of Health Research; McGill University Health Centre; McGill University","keywords":"Rifapentine; Medicine; Rifampicin; Tuberculosis; Meta-analysis; MEDLINE; Intensive care medicine; Internal medicine; Mycobacterium tuberculosis; Latent tuberculosis; Pathology","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":[0.005607194,0.0003381663,0.002954515,0.0003367956,0.0002543038,0.00001272395,0.0005066919,0.0001149921,0.0006280183],"category_scores_gemma":[0.001791461,0.0001636813,0.0002791711,0.001604931,0.0005983358,0.0001035259,0.0004199147,0.0003323485,0.00001577562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006172041,"about_ca_system_score_gemma":0.0001304586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006724927,"about_ca_topic_score_gemma":0.0007440186,"domain_scores_codex":[0.994996,0.00180224,0.001037932,0.0007321923,0.000713881,0.0007177932],"domain_scores_gemma":[0.9945015,0.002512286,0.0004100352,0.002051487,0.0001889256,0.0003357468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"observational","study_design_scores_codex":[0.02273456,0.001244357,0.2275006,0.0003786598,0.4872251,0.0004969271,0.009175954,0.002993885,0.001158718,0.001877864,0.2149329,0.03028059],"study_design_scores_gemma":[0.008777427,0.009905662,0.6814135,0.0001043384,0.1607914,0.00004235759,0.001373312,0.002078658,0.00007835004,0.0001315271,0.1349929,0.0003106513],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9400759,0.01164661,0.0002021542,0.04362941,0.0001530325,0.00241749,0.0005331626,0.0002181065,0.001124088],"genre_scores_gemma":[0.9862031,0.002952446,0.000400543,0.006236477,0.001539321,0.0001241334,0.002112025,0.0000509227,0.0003810016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4539129,"threshold_uncertainty_score":0.687636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3860052211951928,"score_gpt":0.4445899586485557,"score_spread":0.0585847374533629,"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."}}