{"id":"W4237636990","doi":"10.1002/cav.243","title":"A social agent pedestrian model","year":2008,"lang":"en","type":"article","venue":"Computer Animation and Virtual Worlds","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University; University College London; Kwantlen Polytechnic University; University of Surrey; Loyola University Chicago; Sogang University; University of Chicago","keywords":"Pedestrian; Computer science; Set (abstract data type); Fear of crime; Data science; Criminology; Transport engineering; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007500337,0.0008217609,0.0006326344,0.0007670847,0.000919803,0.001422906,0.001099289,0.001501022,0.007518565],"category_scores_gemma":[0.002371402,0.0003914669,0.0007800292,0.0004110033,0.001188761,0.001656565,0.001503416,0.0007929659,0.0009530181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008843139,"about_ca_system_score_gemma":0.000831428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005181939,"about_ca_topic_score_gemma":0.00243328,"domain_scores_codex":[0.9994779,0.0002601686,0.00002069218,0.00009675018,0.00009502593,0.00004936368],"domain_scores_gemma":[0.9992061,0.0003511171,0.0001063079,0.00008078277,0.0001377216,0.0001180615],"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":[0.0002148363,0.0002468634,0.004042215,0.0001404149,0.00007965618,0.0005968107,0.001364274,0.6834754,0.002519879,0.2861386,0.003217357,0.01796373],"study_design_scores_gemma":[0.00004535787,0.0001009433,0.0003673723,0.00002052488,0.00002455918,0.0001049319,0.0001652149,0.9633558,0.0001993735,0.02942057,0.006177365,0.0000179479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.173041,0.0003478695,0.7578902,0.001975757,0.0003268998,0.0004893192,0.0006124448,0.0005607125,0.06475584],"genre_scores_gemma":[0.8949959,0.0003572994,0.08080965,0.0001697137,0.0000763355,0.0005328973,0.000222451,0.00004908496,0.0227867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007518565,"threshold_uncertainty_score":0.02515209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03113107683181171,"score_gpt":0.2490520596388837,"score_spread":0.217920982807072,"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."}}