{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001131004,0.0001800466,0.0006496761,0.00008271164,0.00004666275,0.000003997831,0.0003341365,0.00005721109,0.000198454],"category_scores_gemma":[0.02180003,0.0001455372,0.00001635521,0.0003114867,0.0001051258,0.00003243092,0.0002988684,0.0003079213,4.746276e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002129657,"about_ca_system_score_gemma":0.0005613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.501825,"about_ca_topic_score_gemma":0.9156293,"domain_scores_codex":[0.99761,0.0002473027,0.0008613877,0.000394859,0.0006112351,0.0002751728],"domain_scores_gemma":[0.9949878,0.004070574,0.0001208227,0.0005500792,0.0001286588,0.0001420246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003168999,0.001450518,0.6976618,0.006692593,0.000562257,0.005223883,0.00442471,0.01275163,0.0001196869,0.05173809,0.08335395,0.135704],"study_design_scores_gemma":[0.003038579,0.0001140005,0.2147316,0.001526832,0.0003983694,0.000008134153,0.001541382,0.2844046,0.00001802882,0.4926718,0.001057189,0.0004894891],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08965184,0.001770579,0.8986549,0.004936359,0.0004075628,0.0004541239,0.003654582,0.00002892285,0.000441163],"genre_scores_gemma":[0.9696329,0.0006305294,0.02839763,0.0007589542,0.0001115843,0.00001628525,0.0004175181,0.00001792362,0.00001671814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.879981,"threshold_uncertainty_score":0.9864398,"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."}}