{"id":"W4238022095","doi":"10.1109/ds-rt.2007.33","title":"SimSITE: The HLA/RTI Based Emergency Preparedness and Response Training Simulation","year":2007,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Canarie","keywords":"Emergency response; Preparedness; Emergency management; Training (meteorology); Computer science; Simulation training; Work (physics); Disaster response; Aeronautics; Simulation; Medical emergency; Computer security; Engineering; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007129333,0.00007111902,0.00006533459,0.00004537994,0.00007340073,0.00002443959,0.00004227715,0.00004009315,0.0002818058],"category_scores_gemma":[0.0001069087,0.00005136105,0.00001652232,0.0001329436,0.00001017426,0.00006978448,0.000004889935,0.0000431838,0.00001393612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002605705,"about_ca_system_score_gemma":0.00001465837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008661696,"about_ca_topic_score_gemma":0.00008010385,"domain_scores_codex":[0.9994672,0.00003419628,0.0001972555,0.00008203502,0.00009654289,0.0001227786],"domain_scores_gemma":[0.9995537,0.0002287569,0.00001388258,0.0001243396,0.00003516413,0.00004419133],"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":[0.0002404969,0.00001801537,0.001952074,0.00004152446,0.00003522436,0.000006336364,0.03566336,0.9107963,0.02220891,0.0009759552,0.00124739,0.02681434],"study_design_scores_gemma":[0.0002276692,0.00001635309,0.0128857,0.000007023694,0.000005525454,0.000002210448,0.002927698,0.9721793,0.0004691638,0.000008911503,0.01116617,0.0001042773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.85211,0.00007806301,0.1405579,0.00006407949,0.0003078181,0.0001426788,0.000001139144,0.0002373939,0.006500938],"genre_scores_gemma":[0.9990249,0.000001733071,0.0002651205,0.00005634872,0.00007457497,0.000004728677,0.000002056755,0.00001270261,0.0005578129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1469149,"threshold_uncertainty_score":0.3085576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02987170741243787,"score_gpt":0.2720792936891587,"score_spread":0.2422075862767209,"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."}}