{"id":"W2063243106","doi":"10.1371/journal.pmed.1001063","title":"Is Scale-Up Worth It? Challenges in Economic Analysis of Diagnostic Tests for Tuberculosis","year":2011,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Heart, Lung, and Blood Institute; Bill and Melinda Gates Foundation","keywords":"GeneXpert MTB/RIF; Tuberculosis; Activity-based costing; Diagnostic test; Scale (ratio); Health economics; Sample (material); Tuberculosis diagnosis; Data science; Medicine; Operations research; Risk analysis (engineering); Computer science; Public health; Mycobacterium tuberculosis; Business; Geography; Engineering; Pathology; Marketing; Pediatrics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009732511,0.0002220881,0.001446227,0.001100448,0.00002768868,0.00000136009,0.000187548,0.0001685137,0.001662877],"category_scores_gemma":[0.005528368,0.000165838,0.0002446665,0.0004998672,0.0002808053,0.00006294421,0.00005118831,0.0002229311,0.00004415728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000116531,"about_ca_system_score_gemma":0.00008012496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00116518,"about_ca_topic_score_gemma":0.003139311,"domain_scores_codex":[0.9977741,0.000119195,0.0008181012,0.0005069299,0.0002427274,0.0005389431],"domain_scores_gemma":[0.9954927,0.003288072,0.0001591017,0.0005825611,0.0001362646,0.0003413194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006464238,0.0006476708,0.9628626,0.0006237008,0.003764769,0.00003039204,0.005714686,0.00001210806,0.001097443,0.0003324306,0.01084183,0.01342602],"study_design_scores_gemma":[0.003048894,0.00203597,0.9812167,0.0006391443,0.003696448,0.00001085571,0.001105767,0.00463016,0.001457543,0.0004965321,0.001463961,0.0001980532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9519523,0.006242978,0.00002881623,0.03483421,0.0001401415,0.000841254,0.00005742325,0.00003363608,0.005869205],"genre_scores_gemma":[0.9784638,0.01883393,0.0003392579,0.001673503,0.0002208707,0.0002112431,0.00007807541,0.00002803177,0.0001513286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03316071,"threshold_uncertainty_score":0.9992498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1939514402257981,"score_gpt":0.3782829606920237,"score_spread":0.1843315204662256,"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."}}