{"id":"W2056035602","doi":"10.1155/2012/610405","title":"Uncertainty Analysis in Population-Based Disease Microsimulation Models","year":2012,"lang":"en","type":"article","venue":"Epidemiology Research International","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Arthritis Research Centre of Canada; Statistics Canada; St. Paul's Hospital; HIV Legal Network; University of British Columbia","funders":"Canadian Arthritis Network","keywords":"Microsimulation; Context (archaeology); Population; Sample size determination; Monte Carlo method; Computer science; Statistics; Econometrics; Estimation; Sample (material); Operations research; Medicine; Mathematics; Engineering; Geography; Environmental health","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":[0.01225131,0.001157491,0.001364381,0.001675365,0.0008577777,0.001568945,0.00184851,0.001414405,0.00180186],"category_scores_gemma":[0.06106209,0.0006751594,0.001816827,0.001032947,0.001470928,0.001811491,0.002630648,0.002061977,0.0001395477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001946101,"about_ca_system_score_gemma":0.001886409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01164867,"about_ca_topic_score_gemma":0.005428491,"domain_scores_codex":[0.9913062,0.006707615,0.0003028471,0.0004745431,0.0009351434,0.0002736494],"domain_scores_gemma":[0.9601152,0.03549013,0.001966165,0.0009331918,0.001261247,0.0002339518],"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":[0.00001715702,0.00001343968,0.00151119,0.00006488585,0.0000842321,0.00004681904,0.00006663631,0.9573931,0.00009978398,0.03493144,0.000254026,0.005517387],"study_design_scores_gemma":[0.000006412231,0.00002856502,0.0003068605,0.00003356742,0.00002198103,0.00001520173,0.00003498201,0.9603092,0.0001738084,0.03843624,0.0006194594,0.00001366444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02136848,0.0005062631,0.9748966,0.0006925173,0.00005610096,0.00012278,0.0002369605,0.0001268232,0.001993402],"genre_scores_gemma":[0.7623591,0.001215806,0.2323657,0.0004234723,0.0001319246,0.001166663,0.0005170236,0.0001123897,0.001707912],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01225131,"threshold_uncertainty_score":0.06479192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2869184927781334,"score_gpt":0.518964466227108,"score_spread":0.2320459734489746,"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."}}