{"id":"W2098088693","doi":"10.1002/atr.1201","title":"Microscopic modeling of large‐scale pedestrian–vehicle conflicts in the city of Madinah, Saudi Arabia","year":2012,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Pedestrian; Scale (ratio); Transport engineering; Environmental science; Civil engineering; Computer science; Engineering; Geography; Cartography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003126571,0.00006874425,0.0001731846,0.00007982085,0.00001461419,0.000003399809,0.00008463634,0.00004559689,0.00001060236],"category_scores_gemma":[0.00001149562,0.00005769214,0.00006555437,0.0001577913,0.00001265323,0.0003128495,6.266695e-7,0.0001506564,3.670226e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002288878,"about_ca_system_score_gemma":0.00001357367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004943052,"about_ca_topic_score_gemma":0.00009954206,"domain_scores_codex":[0.9991296,0.00001786446,0.0005180764,0.00003590471,0.0001760982,0.0001224723],"domain_scores_gemma":[0.99958,0.00003499476,0.0001795946,0.00007239946,0.00009994703,0.00003307898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00005637412,0.0001080168,0.05454484,0.0001597154,0.00001789919,0.000001437066,0.01224432,0.869783,0.06241967,0.0002212237,0.000003635993,0.0004398916],"study_design_scores_gemma":[0.003069978,0.0001326109,0.8944203,0.0002992685,0.00009548625,0.0000081833,0.00555387,0.07186147,0.02341431,0.0007009343,0.0002529644,0.0001906672],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648007,0.0005120964,0.03432576,0.00003414882,0.0001444041,0.00007653052,0.00001316389,0.000005985552,0.00008716228],"genre_scores_gemma":[0.9968178,0.0002064521,0.002903871,0.00001749391,0.0000309223,0.000001333248,0.000008734737,0.000008941832,0.000004511871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8398754,"threshold_uncertainty_score":0.2352617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499786680339817,"score_gpt":0.2648789030443225,"score_spread":0.2498810362409243,"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."}}