{"id":"W2922022416","doi":"10.17815/cd.2019.19","title":"A Glossary forResearch on Human Crowd Dynamics","year":2019,"lang":"en","type":"article","venue":"Collective Dynamics","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prevention of Organ Failure","funders":"Lorentz Center; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Glossary; Terminology; Multidisciplinary approach; Computer science; Data science; Crowds; Process (computing); Field (mathematics); Point (geometry); Management science; Epistemology; Engineering ethics; Sociology; Social science; Linguistics; Mathematics; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002037747,0.0002828179,0.0002822592,0.0003321021,0.0002075092,0.0001101975,0.0003401041,0.0002029163,0.0002480315],"category_scores_gemma":[0.00004535319,0.000310705,0.0001275797,0.0007978556,0.00006690746,0.0001513549,0.00007355787,0.0005298788,0.0005110771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002557015,"about_ca_system_score_gemma":0.0001119383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001646651,"about_ca_topic_score_gemma":0.00071102,"domain_scores_codex":[0.9984494,0.00004815862,0.0002743869,0.0003445292,0.000390396,0.0004931177],"domain_scores_gemma":[0.9990292,0.0001485633,0.00003897903,0.0004847365,0.0001647663,0.0001337709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003344011,0.0006504731,0.07554182,0.0005928433,0.0006934169,0.0000705312,0.00162335,0.3844336,0.002763239,0.504097,0.01563472,0.01356453],"study_design_scores_gemma":[0.0007294948,0.0002077779,0.01088979,0.00003583926,0.00001122237,0.000005871377,0.0002911099,0.9819298,0.00008342212,0.005150863,0.0003010838,0.0003637688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6816151,0.00003216728,0.01291228,0.000086789,0.0005961332,0.0006725544,0.0001523422,0.0004765138,0.3034561],"genre_scores_gemma":[0.9772864,0.00001665986,0.0002839725,0.0001061544,0.00005688028,0.00005591816,0.0002473537,0.0001029047,0.02184378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5974962,"threshold_uncertainty_score":0.9999345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672234481660143,"score_gpt":0.2835328852963744,"score_spread":0.266810540479773,"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."}}