{"id":"W1511510665","doi":"10.1007/978-3-540-32243-6_14","title":"Agent-Based Modelling of Forces in Crowds","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Crowds; Computer science; Crowd simulation; Space (punctuation); Work (physics); Crowd psychology; Human–computer interaction; Data science; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004563255,0.0008002723,0.00128297,0.0006849461,0.0009277376,0.001680049,0.002213614,0.002103942,0.003889942],"category_scores_gemma":[0.001839985,0.001112152,0.001051489,0.0008115983,0.001187044,0.00158433,0.001686258,0.001223321,0.0007051498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008737053,"about_ca_system_score_gemma":0.0009151925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01364188,"about_ca_topic_score_gemma":0.008216218,"domain_scores_codex":[0.9997754,0.00007170888,0.00001605406,0.00003397699,0.0000761014,0.00002676289],"domain_scores_gemma":[0.9995246,0.0002873486,0.00003629786,0.00003026282,0.00007438957,0.0000471709],"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":[0.000009055794,0.000007098951,0.00007219679,0.00001987596,0.000009187479,0.00003099488,0.00003884649,0.9827617,0.000247805,0.01438861,0.000309627,0.002104966],"study_design_scores_gemma":[0.000003313222,0.000002258904,0.00002083479,0.000003447069,0.00000182464,0.000006710168,0.000005158193,0.9917418,0.00005609141,0.007588299,0.0005671743,0.000003123325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02322296,0.001156528,0.9548811,0.0006739555,0.0003022564,0.00006418169,0.0001981824,0.0002950765,0.01920565],"genre_scores_gemma":[0.8244052,0.00248257,0.1381592,0.0001645878,0.0003424208,0.0002915006,0.0004042043,0.0002479881,0.03350235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01364188,"threshold_uncertainty_score":0.027125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065153311360252,"score_gpt":0.2280711796715103,"score_spread":0.2074196465579078,"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."}}