{"id":"W2164827676","doi":"10.1136/ebmed.2011.100291","title":"Hammering the point home: serologic testing costs more and harms more patients than other strategies for the diagnosis of active tuberculosis in India","year":2011,"lang":"en","type":"letter","venue":"Evidence-Based Medicine","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Tuberculosis; Serology; Medicine; Point (geometry); Active tuberculosis; Intensive care medicine; Immunology; Pathology; Mycobacterium tuberculosis; Antibody; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"editorial","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002134002,0.0005943898,0.001398833,0.0004560316,0.0001792742,0.00002178751,0.0005523412,0.0006350338,0.0001447427],"category_scores_gemma":[0.01191578,0.0002833076,0.0002061587,0.0005875044,0.001650871,0.0002208781,0.0001489827,0.002202929,0.000003455125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002578009,"about_ca_system_score_gemma":0.0003892691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007715036,"about_ca_topic_score_gemma":0.0001745058,"domain_scores_codex":[0.9960431,0.0005680293,0.0009197812,0.0007546346,0.0007769355,0.0009375537],"domain_scores_gemma":[0.9803276,0.01758529,0.000582111,0.0008189225,0.0005074446,0.0001786543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001259821,0.0001404271,0.764096,0.001746599,0.000519609,0.000100604,0.002481153,0.00002732715,0.0001544523,0.00001421521,0.2110594,0.01840038],"study_design_scores_gemma":[0.003141318,0.00299637,0.9712728,0.00979564,0.0007180012,0.00002273623,0.002557447,0.000535221,0.0003235446,0.000215378,0.008075179,0.0003463419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2866119,0.006495028,0.00007592031,0.7031041,0.0002475104,0.003180147,0.0001186025,0.00003930652,0.0001275376],"genre_scores_gemma":[0.5954361,0.00257212,0.000258467,0.3977319,0.001705755,0.002003553,0.0001447244,0.00009852904,0.00004884093],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3088242,"threshold_uncertainty_score":0.9999619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1118531075324486,"score_gpt":0.3522237469377316,"score_spread":0.240370639405283,"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."}}