{"id":"W3124976303","doi":"10.1002/sim.8863","title":"Spatial modeling of individual‐level infectious disease transmission: Tuberculosis data in Manitoba, Canada","year":2021,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Covariate; Infectious disease (medical specialty); Tuberculosis; Infectivity; Statistics; Demography; Demographics; Maximization; Transmission (telecommunications); Population; Estimation; Econometrics; Computer science; Medicine; Disease; Environmental health; Geography; Immunology; Mathematics; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001252221,0.0005284794,0.0005907653,0.001402398,0.001418232,0.0009579686,0.00228904,0.0007970527,0.001695558],"category_scores_gemma":[0.004598567,0.0003673478,0.0006164349,0.003716655,0.0009045359,0.0004940882,0.0008265935,0.0008352865,0.000205934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01794082,"about_ca_system_score_gemma":0.0157076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9897516,"about_ca_topic_score_gemma":0.9854336,"domain_scores_codex":[0.999501,0.0001473529,0.00002736066,0.00009747694,0.00008190193,0.0001448497],"domain_scores_gemma":[0.9979348,0.0008242864,0.0002086729,0.0001323463,0.0007373858,0.0001625724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001988262,0.0001845164,0.2331938,0.0001533393,0.0002079149,0.0006828544,0.0006219624,0.7280753,0.0005889066,0.01018047,0.007427405,0.01848478],"study_design_scores_gemma":[0.00004176201,0.00002909322,0.06973773,0.00004096546,0.00005181376,0.00007281714,0.0007363401,0.9244469,0.0002115414,0.001504928,0.003076188,0.0000498041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780568,0.001355039,0.008289097,0.001738072,0.00004407244,0.0001183232,0.007408707,0.000142435,0.002847606],"genre_scores_gemma":[0.9886813,0.0006815403,0.004569227,0.00007319999,0.00001240079,0.00004128864,0.003337095,0.00002019476,0.002583819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01794082,"threshold_uncertainty_score":0.1301703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2830997507269963,"score_gpt":0.4096805293144711,"score_spread":0.1265807785874748,"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."}}