{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000665258,0.0003082326,0.0002943916,0.0002513315,0.0003197896,0.000795678,0.001168002,0.0005791335,0.01413544],"category_scores_gemma":[0.001258159,0.000230269,0.0003169892,0.0002347322,0.000475398,0.0005791586,0.001226701,0.0007727448,0.002234428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000504436,"about_ca_system_score_gemma":0.001172008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00560432,"about_ca_topic_score_gemma":0.004028755,"domain_scores_codex":[0.9996891,0.0001066869,0.00001893608,0.00003422844,0.0001048539,0.0000462245],"domain_scores_gemma":[0.9995241,0.0001056453,0.00002414107,0.0001206446,0.0001155519,0.0001098835],"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":[0.001431902,0.0005962944,0.00568949,0.0002119147,0.0000953686,0.0004082029,0.0006178633,0.7179413,0.03218926,0.05068368,0.06266902,0.1274658],"study_design_scores_gemma":[0.0002169017,0.0001864832,0.0009831637,0.00001843558,0.00001561559,0.0001033072,0.00006765906,0.9126431,0.01192882,0.007515986,0.06628903,0.00003165539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08186968,0.000184183,0.7971564,0.0007971316,0.0004323089,0.0007301411,0.003993507,0.03922826,0.07560846],"genre_scores_gemma":[0.6998323,0.0002352274,0.263236,0.0002739047,0.00005668316,0.000745417,0.006403113,0.002043404,0.02717393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01413544,"threshold_uncertainty_score":0.04728776,"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."}}