{"id":"W2954162256","doi":"10.1503/cmaj.72225","title":"Strengthening tuberculosis surveillance in Canada","year":2019,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; International Centre for Infectious Diseases","funders":"","keywords":"Tuberculosis; Medicine; Data science; Computer science; 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":[0.00568495,0.0005768918,0.0007584275,0.001299786,0.01228446,0.005418369,0.003092629,0.01654975,0.007278155],"category_scores_gemma":[0.02304413,0.0005041389,0.0008430892,0.001406377,0.004383712,0.00294515,0.003683932,0.01783449,0.001359108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08356485,"about_ca_system_score_gemma":0.221722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9393719,"about_ca_topic_score_gemma":0.9714718,"domain_scores_codex":[0.9921669,0.001365444,0.0005908355,0.0005775491,0.00272734,0.00257208],"domain_scores_gemma":[0.9723589,0.003272945,0.0009911543,0.0004165645,0.00917985,0.01378059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008890853,0.00006543424,0.008499427,0.000350583,0.00004088351,0.001732101,0.001033234,0.0001976292,0.0006145815,0.003314415,0.9348564,0.04920643],"study_design_scores_gemma":[0.0002356766,0.0001865597,0.04423438,0.002769819,0.00009373361,0.002101216,0.004859202,0.001386639,0.0004632927,0.00751613,0.9359661,0.0001872747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.002292391,0.005242977,0.0001067057,0.9783269,0.007023936,0.00002931377,0.00009515431,0.00003762369,0.006844962],"genre_scores_gemma":[0.06656422,0.007903303,0.0009563923,0.9053249,0.01017039,0.0000525472,0.0001817501,0.00004101929,0.008805502],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.08356485,"threshold_uncertainty_score":0.6063082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147403159295252,"score_gpt":0.2572372571063242,"score_spread":0.2457632255133717,"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."}}