{"id":"W1492762852","doi":"","title":"Optimization of Multimodal Evacuation of Large-scale Transportation Networks","year":2010,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Process (computing); Emergency management; Population; Scale (ratio); Computer science; Risk analysis (engineering); Operations research; Business; Engineering; Geography","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":[0.001175626,0.00169255,0.001181929,0.0008221259,0.0006848893,0.001270442,0.001042328,0.001586006,0.003049918],"category_scores_gemma":[0.002944489,0.0007700528,0.001041689,0.0005954034,0.001072106,0.001126471,0.00172783,0.001144177,0.0002782922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547128,"about_ca_system_score_gemma":0.001203761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01100307,"about_ca_topic_score_gemma":0.007587676,"domain_scores_codex":[0.9994826,0.0002098091,0.0000191524,0.0001012343,0.00004471066,0.0001424378],"domain_scores_gemma":[0.9986487,0.0008199885,0.0001820409,0.00004148362,0.0001515947,0.0001562549],"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":[0.00002054404,0.000009554939,0.0001246152,0.00001275522,0.0000100522,0.00002280187,0.00000691237,0.9980929,0.0001303923,0.0004115386,0.0001060644,0.00105177],"study_design_scores_gemma":[0.00000387816,0.00002119631,0.00008673636,0.000002549659,0.000003627253,0.000002821472,0.0000168821,0.9992564,0.00005215612,0.0004557294,0.0000957521,0.000002201883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3863442,0.00165922,0.5858045,0.001184505,0.0002123057,0.0003553234,0.0006095484,0.0006124485,0.02321793],"genre_scores_gemma":[0.9775948,0.0002671024,0.01814759,0.00006937461,0.00002188036,0.0001302336,0.0001885981,0.00005213818,0.003528372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01100307,"threshold_uncertainty_score":0.02187806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004139186562892317,"score_gpt":0.2135932325284297,"score_spread":0.2094540459655374,"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."}}