{"id":"W2888434232","doi":"10.1101/398271","title":"Multiple Exposures, Reinfection, and Risk of Progression to Active Tuberculosis","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"National Institute of General Medical Sciences; National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Tuberculosis; Disease; Outbreak; Negative binomial distribution; Medicine; Active tuberculosis; Demography; Environmental health; Statistics; Poisson distribution; Mathematics; Internal medicine; Virology; Mycobacterium tuberculosis","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":[0.001219019,0.000342291,0.0004751013,0.0003520113,0.0003835829,0.0007855746,0.0007120259,0.0008362333,0.003451517],"category_scores_gemma":[0.004542624,0.000236919,0.0008003825,0.0002211634,0.0004922061,0.0006666114,0.0005634769,0.0007554646,0.000166054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000933135,"about_ca_system_score_gemma":0.0005909146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01858372,"about_ca_topic_score_gemma":0.01277908,"domain_scores_codex":[0.9996042,0.00019341,0.00001452067,0.00008035108,0.0000334167,0.00007417028],"domain_scores_gemma":[0.9980551,0.001294775,0.000263895,0.0001102862,0.00008865599,0.0001872778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000621477,0.0004560855,0.1904046,0.000125918,0.0003947242,0.0006781153,0.0002578117,0.7879389,0.005417296,0.005579658,0.0007090857,0.007416269],"study_design_scores_gemma":[0.00005996044,0.0004577205,0.03011772,0.00002684957,0.0000908007,0.0002289335,0.0001582597,0.9635801,0.0009444808,0.003872488,0.0004319166,0.00003066153],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993957,0.0001368213,0.004835523,0.000188165,0.00001295407,0.00001472413,0.0001026315,0.00002235376,0.0007297875],"genre_scores_gemma":[0.9989673,0.00003726785,0.0005779825,0.00001571973,0.000002244649,0.000008013109,0.0000447725,0.000002555312,0.0003441521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01858372,"threshold_uncertainty_score":0.03695107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541237578956478,"score_gpt":0.2631770183646849,"score_spread":0.2477646425751201,"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."}}