{"id":"W4282841017","doi":"10.1371/journal.pmed.1004032","title":"Scaling up target regimens for tuberculosis preventive treatment in Brazil and South Africa: An analysis of costs and cost-effectiveness","year":2022,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"World Health Organization","keywords":"Regimen; Medicine; Tuberculosis; Developing country; Transmission (telecommunications); Rifampicin; Environmental health; Demography; Pediatrics; Internal medicine; Economic growth","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":[0.003504228,0.001303737,0.001059148,0.001437134,0.0003915374,0.001434166,0.001152049,0.001056434,0.002388813],"category_scores_gemma":[0.0119631,0.0006505836,0.003080952,0.001358561,0.000689397,0.001426436,0.001041857,0.001114511,0.0001137523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0104727,"about_ca_system_score_gemma":0.004321796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07662068,"about_ca_topic_score_gemma":0.04315354,"domain_scores_codex":[0.9986948,0.0007924453,0.00004999236,0.0001268161,0.0001184397,0.0002174628],"domain_scores_gemma":[0.9935109,0.004984362,0.0007057221,0.0001835723,0.0003698627,0.0002455593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0008177448,0.0003779406,0.0301406,0.000597854,0.0009609089,0.0003520181,0.0001212918,0.9341021,0.0008707181,0.01167291,0.0006940352,0.01929194],"study_design_scores_gemma":[0.0006222352,0.001159589,0.02712501,0.0004999405,0.0015299,0.0003168168,0.000329671,0.957359,0.0007891103,0.007920417,0.002271441,0.00007700572],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971575,0.003323478,0.01374281,0.001361127,0.00003184397,0.0007944709,0.002000364,0.00005457998,0.007116211],"genre_scores_gemma":[0.9934882,0.0007847045,0.004859548,0.00007957307,0.000005304737,0.0001718798,0.0002915402,0.000009203517,0.00030993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07662068,"threshold_uncertainty_score":0.1523494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06259835154050497,"score_gpt":0.3729722469297115,"score_spread":0.3103738953892065,"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."}}