{"id":"W3129677245","doi":"10.1002/cav.1990","title":"Simulation‐as‐a‐Service: Analyzing Crowd Movements in Virtual Environments","year":2021,"lang":"en","type":"article","venue":"Computer Animation and Virtual Worlds","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; York University","funders":"National Science Foundation","keywords":"Computer science; Usability; Human–computer interaction; Workflow; Analytics; Crowd simulation; Upload; Service (business); Virtual machine; Software; Bridge (graph theory); Crowd psychology; Intuition; Software engineering; Crowds; Data science; World Wide Web; Artificial intelligence; Database","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":[0.0007745144,0.0005119745,0.0003241351,0.001115824,0.0004402681,0.001009737,0.0005827644,0.0005766617,0.001840677],"category_scores_gemma":[0.002072203,0.0002497023,0.0003831738,0.0006695457,0.0005559513,0.0008869007,0.001394277,0.0004104593,0.0003992713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005057956,"about_ca_system_score_gemma":0.000781632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007980268,"about_ca_topic_score_gemma":0.007383253,"domain_scores_codex":[0.9996525,0.0001451955,0.00001641496,0.00005314199,0.00009209782,0.00004065316],"domain_scores_gemma":[0.9991274,0.0004336283,0.0000636937,0.0001031857,0.000140279,0.000131738],"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":[0.0005308392,0.0003087239,0.02024062,0.000204356,0.0001217187,0.000401717,0.001718373,0.8941987,0.01299872,0.007086675,0.003760941,0.05842856],"study_design_scores_gemma":[0.00001416233,0.00004196392,0.001925812,0.0000140518,0.000008797004,0.00003671292,0.0004046711,0.9897831,0.002614356,0.002494138,0.002643906,0.00001830944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5710405,0.0002177204,0.4142413,0.0004470491,0.00009720424,0.0002623624,0.0007985207,0.005486499,0.007408748],"genre_scores_gemma":[0.9339637,0.00008758426,0.06465323,0.00003122865,0.00001021067,0.00006568372,0.0003644536,0.0001276378,0.0006961668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007980268,"threshold_uncertainty_score":0.01586759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063272863837647,"score_gpt":0.2456736800480318,"score_spread":0.2350409514096553,"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."}}