{"id":"W2612798460","doi":"10.14288/1.0340534","title":"Development of an agent based simulation model for pedestrian interactions","year":2017,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Computer science; Engineering; Transport engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003222973,0.0005938273,0.0006646259,0.0004809042,0.0006105752,0.001133537,0.001373897,0.001145657,0.003273121],"category_scores_gemma":[0.0009570668,0.0005126074,0.0009408816,0.0004083262,0.0003473829,0.000849558,0.0008243918,0.001237552,0.0008160625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009093956,"about_ca_system_score_gemma":0.001933675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01747132,"about_ca_topic_score_gemma":0.009913525,"domain_scores_codex":[0.999791,0.00005166191,0.0000155475,0.00004143114,0.00007406708,0.00002646404],"domain_scores_gemma":[0.9997016,0.000109015,0.00003572978,0.00002537928,0.0001051506,0.00002309975],"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":[0.00001325691,0.00002419548,0.0007047816,0.00002050575,0.00001166334,0.00006214342,0.00003803983,0.9832075,0.0009621916,0.01042904,0.0003991832,0.004127629],"study_design_scores_gemma":[0.000003732911,0.000006461892,0.00006241838,0.000003388575,0.000003651815,0.000007748918,0.000005307434,0.9974897,0.0002276959,0.0009751817,0.001211143,0.000003451605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04258928,0.0001962152,0.9361694,0.0004998138,0.0001146535,0.0002620971,0.0006177038,0.0008573687,0.01869346],"genre_scores_gemma":[0.6651074,0.000791696,0.3093138,0.0001523452,0.00005576754,0.001200643,0.001223433,0.0001727042,0.02198216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01747132,"threshold_uncertainty_score":0.03473926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03009455739883914,"score_gpt":0.2339452631802363,"score_spread":0.2038507057813972,"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."}}