{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002038631,0.0001749537,0.0001930881,0.0001075193,0.00007460517,0.0001075652,0.0000327692,0.0002128787,0.0003934265],"category_scores_gemma":[0.0001598874,0.0001844634,0.00004240337,0.00009266331,0.00001586913,0.00008364799,0.00002979292,0.0001971399,0.0001319681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000132653,"about_ca_system_score_gemma":0.0001305968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000519193,"about_ca_topic_score_gemma":0.0004327467,"domain_scores_codex":[0.999118,0.000008729185,0.0002843858,0.0001683888,0.0002828574,0.0001376748],"domain_scores_gemma":[0.9995099,0.0000933977,0.00003295526,0.0001738817,0.0001323137,0.00005750972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002135321,0.00002274384,0.0007361323,0.002200444,0.0005537059,0.0000827758,0.0008398464,0.06200914,0.00112182,0.00497186,0.8615448,0.06591462],"study_design_scores_gemma":[0.0002463078,0.00001897367,0.004973513,0.0002466912,0.0001249688,0.0001180426,0.000145256,0.9022687,0.0001227285,0.002432718,0.08851843,0.0007836538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03071707,0.00289643,0.02205332,0.00110925,0.007582059,0.00112687,0.0002722777,0.007449648,0.9267931],"genre_scores_gemma":[0.9077503,0.01552616,0.003166171,0.0001600401,0.0009634178,0.0001852197,0.001072884,0.0003644292,0.07081141],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8770332,"threshold_uncertainty_score":0.7522199,"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."}}