{"id":"W2946261661","doi":"10.1016/j.physa.2019.121432","title":"Human behavior modeling for simulating evacuation of buildings during emergencies","year":2019,"lang":"en","type":"article","venue":"Physica A Statistical Mechanics and its Applications","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Process (computing); Computer science; Natural disaster; Human behavior; Mood; Human systems engineering; Fuzzy logic; Risk analysis (engineering); Cover (algebra); Natural (archaeology); Operations research; Artificial intelligence; Engineering; Psychology; Business; Social psychology; Geography","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":[0.0003194803,0.0005403921,0.0007361738,0.0004495157,0.0005290736,0.0005291016,0.000790781,0.0009787906,0.001499971],"category_scores_gemma":[0.001271018,0.0003469424,0.0007483125,0.0003750784,0.000369821,0.0004652763,0.0004652683,0.0005838152,0.0002055397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007388716,"about_ca_system_score_gemma":0.001139238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03353122,"about_ca_topic_score_gemma":0.01857192,"domain_scores_codex":[0.9998357,0.00006328663,0.000007161046,0.00003157219,0.00002867381,0.00003349288],"domain_scores_gemma":[0.999635,0.000199466,0.00004275065,0.00002096062,0.0000560702,0.00004567879],"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":[0.00001155581,0.00001969925,0.0004780712,0.000005434598,0.000009580107,0.00001680643,0.00001794414,0.9968812,0.0002544363,0.0009150111,0.0001233502,0.001266823],"study_design_scores_gemma":[0.000001071923,0.000003390406,0.00007069904,4.945615e-7,0.000001404997,0.000001782143,0.000003837264,0.9996586,0.00003858885,0.000171627,0.00004745178,0.000001016795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4422491,0.0003406141,0.5478558,0.0005342817,0.0001650353,0.0001153813,0.0004530832,0.0006127977,0.007673951],"genre_scores_gemma":[0.9816635,0.0001095678,0.01522615,0.0000431299,0.00002966523,0.00006275866,0.0001650386,0.00004002215,0.002660332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03353122,"threshold_uncertainty_score":0.06667209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01829633115515277,"score_gpt":0.2863841311252852,"score_spread":0.2680877999701324,"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."}}