{"id":"W4385949658","doi":"10.6028/nist.tn.2262","title":"WUI fire evacuation and sheltering considerations :","year":2023,"lang":"en","type":"report","venue":"","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"California Department of Forestry and Fire Protection; Engineering Laboratory; U.S. Forest Service; National Institute of Standards and Technology","keywords":"Preparedness; Wildland–urban interface; NIST; Environmental planning; Fire protection; Environmental resource management; Emergency management; Geography; Environmental science; Engineering; Civil engineering; Computer science; Political science","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":[0.006024016,0.0006580079,0.000323364,0.00165363,0.004435268,0.004761543,0.002141616,0.002396431,0.004979346],"category_scores_gemma":[0.01299628,0.0003372162,0.000709917,0.0009998574,0.001975128,0.00422788,0.003421431,0.002610449,0.0005624223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004191922,"about_ca_system_score_gemma":0.01005197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02970612,"about_ca_topic_score_gemma":0.1068979,"domain_scores_codex":[0.9967397,0.00167647,0.0001640392,0.0001821472,0.0007834103,0.0004542774],"domain_scores_gemma":[0.9947399,0.002195485,0.0004676445,0.000215195,0.001848535,0.0005331266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002507768,0.0006785729,0.1028902,0.002857174,0.0001238493,0.009114021,0.03702162,0.07281134,0.004786114,0.255663,0.09540748,0.418396],"study_design_scores_gemma":[0.00004533972,0.0005376221,0.04086973,0.00405809,0.0001230876,0.003277017,0.317451,0.09897759,0.006405254,0.1173545,0.4106484,0.0002523964],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3048133,0.008432781,0.2010842,0.163894,0.002444605,0.002719208,0.00164131,0.001024034,0.3139465],"genre_scores_gemma":[0.8541398,0.007292309,0.1175307,0.004188349,0.0004223629,0.0005621259,0.0005870279,0.00009760443,0.01517961],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02970612,"threshold_uncertainty_score":0.05906641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09831655965020655,"score_gpt":0.3278005073865366,"score_spread":0.22948394773633,"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."}}