{"id":"W4245674947","doi":"10.1109/wsc.2015.7408211","title":"Particle filtering using agent-based transmission models","year":2015,"lang":"en","type":"article","venue":"2015 Winter Simulation Conference (WSC)","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Health Authority","funders":"","keywords":"Particle filter; Computer science; Construct (python library); Adaptability; Artificial intelligence; Particle system; Path (computing); Machine learning; Kalman filter","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006830865,0.0002259656,0.0003674256,0.0000506261,0.0001061895,0.00006222592,0.0002015754,0.0001113018,0.0002731663],"category_scores_gemma":[0.0009809019,0.0001827553,0.0001081072,0.0001286719,0.00007018198,0.0003150497,0.00009527713,0.0001389627,0.00005014754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649888,"about_ca_system_score_gemma":0.00009402151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006601519,"about_ca_topic_score_gemma":0.00001619566,"domain_scores_codex":[0.9982568,0.0002090863,0.0005056066,0.0003644503,0.0003211539,0.0003429189],"domain_scores_gemma":[0.9980935,0.0008734174,0.0001633585,0.0003271675,0.0003168722,0.0002256105],"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":[0.0001630483,0.0001498459,0.002306888,0.00007809517,0.00003865845,0.000007340053,0.001928649,0.9824786,0.00173403,0.003065446,0.001028768,0.007020595],"study_design_scores_gemma":[0.0007606292,0.00007703023,0.0001957447,0.0001105628,0.00003351366,5.407325e-7,0.0001352117,0.9409818,0.0008843875,0.05439865,0.002200283,0.0002216598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1873359,0.00007295917,0.8106865,0.0008569839,0.0001286866,0.0002457123,0.000005778776,0.0001701716,0.0004973126],"genre_scores_gemma":[0.9802412,0.000002573898,0.01901024,0.0004402881,0.00007985008,0.00001335001,0.000005362138,0.00002194056,0.000185168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7929053,"threshold_uncertainty_score":0.7452545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7039201030721376,"score_gpt":0.4943356534809563,"score_spread":0.2095844495911813,"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."}}