{"id":"W4413120139","doi":"10.1016/j.trip.2025.101556","title":"Pre-disaster evacuation transport network design under uncertain demand and connectivity reliability: a novel bi-level programming model","year":2025,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Reliability (semiconductor); Computer science; Network planning and design; Reliability engineering; Operations research; Computer network; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001088938,0.001053357,0.001020466,0.0006302575,0.0005456317,0.00186775,0.001439199,0.001693341,0.003038689],"category_scores_gemma":[0.001917519,0.0007426359,0.001331968,0.0008276587,0.0007038637,0.001542273,0.001403737,0.001737422,0.0002694118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801451,"about_ca_system_score_gemma":0.002092752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01397078,"about_ca_topic_score_gemma":0.007243365,"domain_scores_codex":[0.9994116,0.0002032872,0.00001947436,0.0001206109,0.0001340111,0.0001111082],"domain_scores_gemma":[0.9993544,0.0003456164,0.00008610216,0.00002176514,0.0001420045,0.00005001331],"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":[0.00001113507,0.00001182601,0.0001905594,0.0000263495,0.000008292203,0.00003898901,0.00002406244,0.9918637,0.0002943249,0.005369837,0.0001738028,0.001987004],"study_design_scores_gemma":[0.000002167905,0.000009232118,0.00004175395,0.00000231836,0.000003298132,0.00000541364,0.000008078856,0.9983772,0.00005411206,0.001304176,0.0001899721,0.000002306324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02398374,0.0002287296,0.9656734,0.0005440147,0.00004059884,0.00008170013,0.0001707998,0.000108509,0.009168447],"genre_scores_gemma":[0.8576765,0.000915835,0.1257967,0.0002070791,0.00004980512,0.0005626482,0.0003233693,0.00008471555,0.0143834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01397078,"threshold_uncertainty_score":0.02777892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07691491887949094,"score_gpt":0.3787351043382213,"score_spread":0.3018201854587304,"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."}}