{"id":"W2597776717","doi":"10.1080/03155986.2017.1302773","title":"Ridesharing for emergency evacuation","year":2017,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ivey Foundation","funders":"","keywords":"Heuristics; Computer science; Heuristic; Integer programming; Routing (electronic design automation); Mathematical optimization; Matching (statistics); Operations research; Benchmark (surveying); Economic shortage; Vehicle routing problem; Artificial intelligence; Engineering; Computer network; Mathematics; Algorithm; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004230166,0.0008619616,0.0008933209,0.0005818692,0.001035589,0.001271856,0.001154835,0.001479517,0.01416911],"category_scores_gemma":[0.001871508,0.0003873801,0.001109736,0.0007609135,0.0005998074,0.001585332,0.001435722,0.001202283,0.001144575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103802,"about_ca_system_score_gemma":0.001325079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006803068,"about_ca_topic_score_gemma":0.009244391,"domain_scores_codex":[0.9995524,0.000206115,0.00001613437,0.00008427852,0.0000577897,0.0000832853],"domain_scores_gemma":[0.9996235,0.0002162644,0.00003789112,0.00003501727,0.0000411811,0.00004606337],"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":[0.0001143987,0.0001067753,0.000469253,0.0003825189,0.00006107824,0.0002572677,0.0001500252,0.8504432,0.001491904,0.07641941,0.01018619,0.05991804],"study_design_scores_gemma":[0.00003023038,0.0000971451,0.0002220381,0.00005670868,0.00003791298,0.0001654658,0.0002516736,0.9277648,0.0006027194,0.04681353,0.02393231,0.00002542247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04958578,0.003784533,0.8870569,0.002402658,0.0005553685,0.0003864784,0.0006464661,0.0005765545,0.05500537],"genre_scores_gemma":[0.6919477,0.00378071,0.2666603,0.0004089963,0.000266567,0.0003569002,0.0008758531,0.0002120947,0.03549087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01416911,"threshold_uncertainty_score":0.04740036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09477610281107327,"score_gpt":0.3902981259574457,"score_spread":0.2955220231463724,"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."}}