{"id":"W3134322787","doi":"10.1177/03611981211030271","title":"Developing Transportation Response Strategies for Wildfire Evacuations via an Empirically Supported Traffic Simulation of Berkeley, California","year":2021,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of California Institute of Transportation Studies; Federal Highway Administration; National Science Foundation","keywords":"Transport engineering; Government (linguistics); Environmental science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004278619,0.0003417113,0.0005974171,0.0009875896,0.0005519495,0.0001641059,0.0006965569,0.0003331732,0.0001935674],"category_scores_gemma":[0.0002809198,0.0003118856,0.0004747198,0.002607904,0.0003566757,0.001198474,0.000002684252,0.001244931,0.000006930949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003828446,"about_ca_system_score_gemma":0.00220632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004006003,"about_ca_topic_score_gemma":0.03537326,"domain_scores_codex":[0.9926472,0.00116526,0.00225573,0.0004348779,0.002706055,0.0007908887],"domain_scores_gemma":[0.9911519,0.001891291,0.0003587419,0.0005139237,0.005721632,0.0003625595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003201638,0.0003670598,0.01329387,0.0006985268,0.0003327116,0.00006082036,0.008987405,0.9192923,0.04142563,0.002310114,0.0006554038,0.009374524],"study_design_scores_gemma":[0.003862001,0.001035356,0.7665174,0.0005601965,0.0002483071,0.000001887694,0.01157527,0.1890505,0.01013646,0.00896917,0.007396683,0.000646764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8123684,0.0001316289,0.1846103,0.001148398,0.0002990986,0.0009136364,0.0004391988,0.00007218937,0.00001717431],"genre_scores_gemma":[0.9897892,0.0003045475,0.008939547,0.00004061257,0.0001080478,0.0000868535,0.0005460759,0.0001062691,0.00007882142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7532235,"threshold_uncertainty_score":0.9999333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032142081676706,"score_gpt":0.4098986930487773,"score_spread":0.3066844848811067,"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."}}