{"id":"W2565874404","doi":"10.22360/summersim.2016.scsc.012","title":"Centroidal Particles for Interactive Crowd Simulation","year":2016,"lang":"en","type":"article","venue":"","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Crowds; Computer science; Crowd simulation; Task (project management); Focus (optics); Entertainment; Artificial intelligence; Robot; Space (punctuation); Human–computer interaction; Motion planning; Simulation; Computer vision; Computer security; 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":[],"consensus_categories":[],"category_scores_codex":[0.00002756954,0.0000408191,0.00003673859,0.00001693176,0.00001524731,0.00001226862,0.00002526217,0.00001911255,0.0001380039],"category_scores_gemma":[0.00003632888,0.00002761954,0.00002305414,0.00002224141,0.000005953619,0.0001299247,0.000003818002,0.00001178216,0.00006193225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003380476,"about_ca_system_score_gemma":0.000002707645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.634736e-7,"about_ca_topic_score_gemma":0.000009589228,"domain_scores_codex":[0.9997528,0.000003231547,0.00007439125,0.00004865103,0.00003428635,0.00008669132],"domain_scores_gemma":[0.9997525,0.0001333679,0.000007582835,0.00005179569,0.0000294447,0.000025332],"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":[0.00008730351,0.00004710988,0.0026558,0.00003294086,0.00008063477,5.52418e-7,0.0005236664,0.5575191,0.1311123,0.03578145,0.00347623,0.2686829],"study_design_scores_gemma":[0.0003809405,0.00001180044,0.001168211,0.000005789253,0.000003708159,1.647797e-7,0.00003552039,0.978111,0.01336825,0.001621723,0.005228414,0.00006453117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1877963,0.000006465407,0.809772,0.0001871344,0.0001172706,0.0000872997,0.000006797565,0.000190855,0.001835927],"genre_scores_gemma":[0.9977174,0.000002738799,0.001612198,0.00004135475,0.00003979793,0.00001136255,0.000002187761,0.000009622792,0.0005632835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8099212,"threshold_uncertainty_score":0.1511046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172805156443057,"score_gpt":0.2577898115363557,"score_spread":0.2460617599719251,"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."}}