{"id":"W2083563388","doi":"10.1503/cmaj.131025","title":"Screening immigrants for latent tuberculosis: Do we have the resources?","year":2014,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; University of British Columbia","funders":"","keywords":"Tuberculosis; Latent tuberculosis; Immigration; Incidence (geometry); Medicine; Tuberculosis control; New immigrants; Data science; Immunology; Environmental health; Computer science; Mycobacterium tuberculosis; Geography; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01092044,0.0008600639,0.001915247,0.001920693,0.003477608,0.005898152,0.003336043,0.006389027,0.02603345],"category_scores_gemma":[0.0656466,0.0006009701,0.0009170265,0.001890846,0.003145768,0.01162542,0.004734099,0.01104393,0.00583086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006184567,"about_ca_system_score_gemma":0.04444271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2671008,"about_ca_topic_score_gemma":0.3508171,"domain_scores_codex":[0.9942691,0.001909858,0.0005038126,0.0003788252,0.00186487,0.001073396],"domain_scores_gemma":[0.9662602,0.007433846,0.001773816,0.001030177,0.01168289,0.01181918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001582372,0.0001580316,0.01236355,0.001757775,0.00009540699,0.0003574355,0.001044806,0.00009339566,0.0002740549,0.006681113,0.7150413,0.2619749],"study_design_scores_gemma":[0.0002170753,0.0003420087,0.03303602,0.01888526,0.0003281008,0.001153362,0.01085705,0.0003445935,0.0003411696,0.01999095,0.9142488,0.0002554657],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001454548,0.03537757,0.0004635172,0.9511315,0.006036302,0.00002188046,0.000619163,0.00006459362,0.00483093],"genre_scores_gemma":[0.07756742,0.2458827,0.008948383,0.620796,0.03214619,0.0002637843,0.002691565,0.0002838799,0.01142012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7328992,"threshold_uncertainty_score":0.5310922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01980287056987599,"score_gpt":0.2935350870259233,"score_spread":0.2737322164560473,"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."}}