{"id":"W2591677998","doi":"10.1016/j.jval.2017.01.002","title":"A Practical ANOVA Approach for Uncertainty Analysis in Population-Based Disease Microsimulation Models","year":2017,"lang":"en","type":"article","venue":"Value in Health","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Microsimulation; Econometrics; Computer science; Statistics; Analysis of variance; Economics; Machine learning; Mathematics; Engineering; Transport engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.006724116,0.0009308432,0.001930201,0.001284705,0.0008252242,0.001265065,0.001783609,0.001369545,0.004616419],"category_scores_gemma":[0.02375769,0.0008342735,0.002522873,0.0009799484,0.0009994122,0.001209487,0.002247287,0.002982082,0.0006006148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009075255,"about_ca_system_score_gemma":0.002203728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008674157,"about_ca_topic_score_gemma":0.007458461,"domain_scores_codex":[0.9972315,0.001885497,0.0001169356,0.000236689,0.0003787553,0.0001505135],"domain_scores_gemma":[0.984103,0.01362435,0.0003453302,0.0006602163,0.001049865,0.0002171831],"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":[0.00006190317,0.00009089299,0.0008938702,0.00007595422,0.0001793842,0.0001209886,0.0000823599,0.8470358,0.0009142046,0.10475,0.001836951,0.04395771],"study_design_scores_gemma":[0.000005296385,0.00002176259,0.00007523909,0.000004436967,0.00001387385,0.000009909568,0.000007008491,0.9745285,0.0001174555,0.02475723,0.0004505836,0.000008607004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002291424,0.00004597675,0.9969231,0.00008688834,0.00003180446,0.00001789066,0.00005939323,0.00009353656,0.0004497896],"genre_scores_gemma":[0.3090446,0.0003797309,0.6835573,0.0002962536,0.000383942,0.0007330897,0.0006085058,0.0004104223,0.004586119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008674157,"threshold_uncertainty_score":0.03556097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3697161496965331,"score_gpt":0.483039687209071,"score_spread":0.1133235375125379,"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."}}