{"id":"W4417520399","doi":"10.1016/j.sste.2025.100780","title":"Individual level modeling of infectious disease transmission with reinfection dynamics: Application to Tuberculosis in Manitoba, Canada","year":2025,"lang":"en","type":"article","venue":"Spatial and Spatio-temporal Epidemiology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba; Manitoba Health","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Infectious disease (medical specialty); Tuberculosis; Public health; Disease; Psychological intervention; Transmission (telecommunications); Disease transmission; Public health interventions; Maximization","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":[0.001341819,0.0008098527,0.0007799884,0.001063831,0.001633379,0.001363886,0.002547489,0.001094404,0.001709333],"category_scores_gemma":[0.003480964,0.00058914,0.001184989,0.002009399,0.001017324,0.0004330984,0.00106485,0.0009241169,0.0001402344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0263496,"about_ca_system_score_gemma":0.0292074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9918649,"about_ca_topic_score_gemma":0.9844541,"domain_scores_codex":[0.9994906,0.0001457114,0.00002211622,0.0001043621,0.00007459206,0.0001625398],"domain_scores_gemma":[0.9985279,0.000600077,0.0001270474,0.00005181924,0.0005492867,0.0001438409],"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":[0.00006953255,0.00006377709,0.04199534,0.00005506702,0.00009325057,0.0002051259,0.0001913317,0.9478766,0.0002989949,0.003304891,0.001151036,0.004695008],"study_design_scores_gemma":[0.0000199473,0.00001361573,0.01020828,0.00001422492,0.00003048157,0.00002033783,0.0002002046,0.9880967,0.00007923694,0.0004792763,0.0008174225,0.00002034532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600377,0.001253702,0.02684055,0.001268474,0.00005013955,0.0002261628,0.003971632,0.0002920527,0.006059618],"genre_scores_gemma":[0.9838599,0.0005751437,0.01032921,0.00008833184,0.00001075387,0.00006981268,0.001355828,0.0000320522,0.003678947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0263496,"threshold_uncertainty_score":0.1911806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074232638294043,"score_gpt":0.3438083146490954,"score_spread":0.2363850508196912,"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."}}