{"id":"W2951837360","doi":"10.23919/springsim.2019.8732873","title":"Heterogeneous Crowd Simulation","year":2019,"lang":"en","type":"article","venue":"","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Motion (physics); Crowd simulation; Motion planning; Path (computing); Set (abstract data type); Personal space; Space (punctuation); Human motion; Human–computer interaction; Crowd sourcing; Trajectory; Human behavior; Simulation; Artificial intelligence; Crowds; Computer security; Data science; Computer network; Robot","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":[0.000378587,0.0006091711,0.0007893096,0.0006527232,0.0007686579,0.001217163,0.00162568,0.001282704,0.007596283],"category_scores_gemma":[0.001819743,0.0002707051,0.0007853283,0.0008080751,0.0005532082,0.00106058,0.001653126,0.0007769158,0.001131035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006789344,"about_ca_system_score_gemma":0.0008526377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01235148,"about_ca_topic_score_gemma":0.006191893,"domain_scores_codex":[0.9996549,0.00009728104,0.00001551221,0.00007111493,0.00009373867,0.00006741977],"domain_scores_gemma":[0.9994507,0.0002203621,0.00005539709,0.00007852135,0.0001049527,0.00008996913],"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":[0.00004433788,0.00005291405,0.0007313872,0.00003708157,0.00002002744,0.00009217257,0.00006079611,0.9672463,0.0007870412,0.02132138,0.002630992,0.006975488],"study_design_scores_gemma":[0.00001550007,0.00001345549,0.0001410598,0.000006195392,0.000005450884,0.0000184146,0.00002031644,0.9905494,0.0003104799,0.004837467,0.004074579,0.000007608778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1557239,0.0008237167,0.7309781,0.001114261,0.0006377646,0.0005092861,0.004307829,0.001638601,0.1042665],"genre_scores_gemma":[0.8528504,0.0008285504,0.1118582,0.0003160999,0.0001542411,0.0005672207,0.003063364,0.0003365893,0.03002536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01235148,"threshold_uncertainty_score":0.02541208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005581995934290038,"score_gpt":0.2130982060531156,"score_spread":0.2075162101188255,"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."}}