{"id":"W4230249985","doi":"10.1109/wsc.2018.8632401","title":"MULTI-AGENT BASED SIMULATION OF ELDERLY EGRESS PROCESS AND FALL ACCIDENT IN SENIOR APARTMENT BUILDINGS","year":2018,"lang":"en","type":"article","venue":"2018 Winter Simulation Conference (WSC)","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"NetLogo; Apartment; Computer science; Process (computing); Architectural engineering; Population; Accident (philosophy); Operations research; Simulation; Risk analysis (engineering); Engineering; Civil engineering; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003045488,0.0004973069,0.000552712,0.0003811547,0.0006495691,0.0007119051,0.0006858161,0.0009845613,0.00212014],"category_scores_gemma":[0.000755099,0.0002469441,0.0005947835,0.000313139,0.0004415508,0.0003818372,0.0008070017,0.0005692117,0.0001359652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007256704,"about_ca_system_score_gemma":0.0007847733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03048407,"about_ca_topic_score_gemma":0.01941085,"domain_scores_codex":[0.9998778,0.00003975736,0.000007951594,0.00001730489,0.00001726203,0.00003981075],"domain_scores_gemma":[0.9996414,0.0001706178,0.00003998601,0.00001566351,0.0000479596,0.00008433878],"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":[0.00006932115,0.00005629436,0.002670487,0.00001221947,0.00001281651,0.000106263,0.00005313212,0.9951366,0.0002930908,0.0006509648,0.0001605812,0.0007782567],"study_design_scores_gemma":[0.0000109077,0.00003469403,0.0006849164,0.000002835312,0.000006213182,0.000006012267,0.00006680017,0.9987199,0.0001205588,0.000198131,0.0001447116,0.000004335606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978523,0.000112009,0.0139981,0.0002192411,0.00005447281,0.00004996852,0.0003540081,0.0001065012,0.00658268],"genre_scores_gemma":[0.9959399,0.00005908924,0.002297033,0.00002009013,0.000005475762,0.0000381436,0.0001366086,0.000006642741,0.001497089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03048407,"threshold_uncertainty_score":0.06061327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03104733140289549,"score_gpt":0.3098405927010598,"score_spread":0.2787932612981643,"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."}}