{"id":"W2113187661","doi":"10.1097/mcp.0b013e328338094f","title":"New and improved tuberculosis diagnostics: evidence, policy, practice, and impact","year":2010,"lang":"en","type":"review","venue":"Current Opinion in Pulmonary Medicine","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Pipeline (software); Tuberculosis; Public health; Risk analysis (engineering); Knowledge base; Public economics; Public relations; Political science; Computer science; Nursing","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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002119324,0.0008749179,0.003523373,0.001625892,0.00009370308,0.00003009386,0.0002784017,0.0007996978,0.0001828246],"category_scores_gemma":[0.03095457,0.0005640063,0.0003053013,0.001070295,0.0005552128,0.0003414916,0.0003863015,0.003103401,0.00003420035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003223819,"about_ca_system_score_gemma":0.001690575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001962427,"about_ca_topic_score_gemma":0.00001195053,"domain_scores_codex":[0.9950724,0.0007344025,0.00152718,0.001151006,0.0005584355,0.000956564],"domain_scores_gemma":[0.9893967,0.007419354,0.0005343874,0.0008266143,0.0001926257,0.001630356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001583791,0.0001538173,0.002187958,0.02139676,0.0001491607,0.0000425815,0.00005637057,3.176006e-8,0.000003111557,0.0001183661,0.03090735,0.9448261],"study_design_scores_gemma":[0.0008973986,0.001050517,0.004352171,0.07932609,0.000718538,0.003077797,0.00003485484,0.00008608965,5.937525e-8,0.0001436042,0.9099189,0.0003939692],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000192409,0.9820809,0.00002127963,0.01277295,0.002416051,0.002196256,0.0000486697,0.00005200605,0.0003926851],"genre_scores_gemma":[0.00002927425,0.9914305,0.0002557349,0.0002160078,0.00714175,0.0002215684,0.0005116871,0.00008841923,0.0001051247],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9444321,"threshold_uncertainty_score":0.9996811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1287793023457425,"score_gpt":0.4992141890082424,"score_spread":0.3704348866625,"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."}}