{"id":"W2943336830","doi":"10.1002/fam.2708","title":"Modeling and mapping dynamic vulnerability to better assess WUI evacuation performance","year":2019,"lang":"en","type":"article","venue":"Fire and Materials","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Vulnerability (computing); Computer science; Pedestrian; Poison control; Core (optical fiber); Risk analysis (engineering); Transport engineering; Computer security; Engineering; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002075638,0.00009052742,0.0001302248,0.00003274997,0.00004112078,0.00007475374,0.00003460441,0.0000524264,0.0000745644],"category_scores_gemma":[0.000007605659,0.00008790018,0.000007947286,0.00003945141,0.000004738323,0.0001759321,0.00002709892,0.00003697247,0.00004078343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002343533,"about_ca_system_score_gemma":0.000004272928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000851788,"about_ca_topic_score_gemma":0.000004684212,"domain_scores_codex":[0.999508,0.00001538681,0.0001611884,0.0001327792,0.00006518049,0.0001175104],"domain_scores_gemma":[0.9998052,0.00001174485,0.0000117786,0.0001110843,0.00002149069,0.00003876585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003833372,0.00001904226,0.006509933,0.001616458,0.00005071668,0.000001071845,0.001974297,0.1060468,0.827265,0.0003017094,0.0001148959,0.0560618],"study_design_scores_gemma":[0.0001617891,0.00001723142,0.01735199,0.0000530757,0.000005896915,0.000002471965,0.00004665194,0.9788099,0.003081075,0.0001370413,0.0001843835,0.0001484835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911917,0.00003646675,0.007933115,0.00009129486,0.0002761554,0.000187994,0.00001343397,0.0000864441,0.0001833225],"genre_scores_gemma":[0.9986825,0.00006601999,0.0009669857,0.0001204159,0.00003118645,0.00001650682,0.0000264346,0.00001431811,0.000075645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8727632,"threshold_uncertainty_score":0.3584465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144665791727716,"score_gpt":0.2374054156250731,"score_spread":0.2229388364523015,"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."}}