{"id":"W2291477958","doi":"10.5555/2888619.2888757","title":"Particle filtering in a seirv simulation model of H1N1 influenza","year":2015,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Particle filter; Calibration; Computer science; Particle (ecology); Outbreak; Data mining; Statistics; Simulation; Econometrics; Artificial intelligence; Kalman filter; Mathematics; Virology; Medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001833894,0.0005545267,0.0008468066,0.0004828039,0.0004913948,0.0007584977,0.00125574,0.001361341,0.001117753],"category_scores_gemma":[0.004424348,0.0004245114,0.0006890633,0.0004984423,0.0006126571,0.0005681195,0.0007196715,0.0008860413,0.0001602476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263073,"about_ca_system_score_gemma":0.001349783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09072386,"about_ca_topic_score_gemma":0.03401075,"domain_scores_codex":[0.9994701,0.0003090471,0.00002451706,0.00006890967,0.0000626846,0.00006482101],"domain_scores_gemma":[0.9978987,0.001398042,0.0002279486,0.00009291746,0.0002809179,0.0001015974],"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":[0.00003358543,0.00001945973,0.001237974,0.000005262872,0.00001012902,0.00002259639,0.00001863602,0.9961727,0.0001343918,0.001690883,0.00007315367,0.0005811809],"study_design_scores_gemma":[0.000006426628,0.000009498321,0.0001727537,0.000001119501,0.000002184818,0.000001933791,0.000005302982,0.9994885,0.00003454719,0.0002308006,0.00004488202,0.000002150876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.760285,0.0003621587,0.2285363,0.001102202,0.00009376766,0.0001407977,0.0007517014,0.000353628,0.008374412],"genre_scores_gemma":[0.9804348,0.0001593398,0.01655755,0.0000592125,0.00002013325,0.00008491025,0.0003284478,0.00001606035,0.002339546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09072386,"threshold_uncertainty_score":0.1803916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6895426806657257,"score_gpt":0.5036303412545345,"score_spread":0.1859123394111911,"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."}}