{"id":"W2149308255","doi":"10.1002/atr.210","title":"Blocking roads to increase the evacuation efficiency","year":2012,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Rijkswaterstaat; Technische Universiteit Delft","keywords":"Blocking (statistics); Traffic flow (computer networking); Computer science; Intervention (counseling); Flow (mathematics); Lead (geology); Transport engineering; Function (biology); Simulation; Operations research; Computer security; Engineering; Computer network; Mathematics; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003121836,0.00007429532,0.00008940476,0.00008844231,0.00004950806,0.00001239481,0.00008297422,0.00002816434,0.00002026798],"category_scores_gemma":[0.00003242338,0.00005602076,0.00005466105,0.0002210903,0.000007173314,0.0004090858,7.060987e-7,0.000120487,0.000008528742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005337955,"about_ca_system_score_gemma":0.00001375166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001576559,"about_ca_topic_score_gemma":0.00001653347,"domain_scores_codex":[0.9992561,0.00001451235,0.0003284437,0.00003581419,0.0002323583,0.0001327729],"domain_scores_gemma":[0.9995858,0.00004207894,0.00009469085,0.00007123427,0.0001149303,0.00009125375],"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":[0.00002570914,0.00002525621,0.002323395,0.00001231393,0.00001393305,0.000001120166,0.003506293,0.9657357,0.01349516,0.0005301001,0.00006797628,0.01426308],"study_design_scores_gemma":[0.001458795,0.0001858693,0.9518773,0.000138109,0.0001785762,0.00003387653,0.002437397,0.02212877,0.009219354,0.0005293648,0.01142943,0.0003831921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8968841,0.0002780172,0.1018424,0.0001258615,0.0004997671,0.00008894303,0.000002339268,0.00002850093,0.0002500417],"genre_scores_gemma":[0.9962991,0.0000480653,0.003360735,0.00008379365,0.0001663607,0.000003536003,0.000006886791,0.00001344179,0.00001801344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9495538,"threshold_uncertainty_score":0.228446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006432307733290568,"score_gpt":0.2405892515605982,"score_spread":0.2341569438273076,"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."}}