{"id":"W2972813637","doi":"10.1115/1.4044531","title":"Computational Fluid Dynamics Modeling of Fire and Human Evacuation for Nuclear Applications","year":2019,"lang":"en","type":"article","venue":"Journal of Nuclear Engineering and Radiation Science","topic":"Fire dynamics and safety research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Computational fluid dynamics; Computer science; Large eddy simulation; High fidelity; Fidelity; Fire Dynamics Simulator; Environmental science; Simulation; Nuclear engineering; Marine engineering; Aerospace engineering; Engineering; Meteorology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003458799,0.00005070639,0.0001003677,0.0001562199,0.00008101119,0.0000447709,0.00009370333,0.00002479868,0.000002948603],"category_scores_gemma":[0.00002135727,0.00005040769,0.00002429488,0.0001618461,0.00003124558,0.0002282634,0.00001510785,0.00007699469,6.783392e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005826379,"about_ca_system_score_gemma":0.00001617117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001676686,"about_ca_topic_score_gemma":1.134574e-7,"domain_scores_codex":[0.9994451,0.000002697724,0.0002052378,0.00006875952,0.0001891754,0.00008901448],"domain_scores_gemma":[0.9996591,0.0000364554,0.00004800853,0.00005390503,0.0001444904,0.00005803255],"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":[0.000002970471,0.000004997729,0.00006195337,0.00006155213,0.000007206694,7.217776e-8,0.0001167353,0.9787351,0.0064977,0.01088625,0.000006443037,0.003619049],"study_design_scores_gemma":[0.0001976414,0.00005410502,0.002008389,0.00002273601,0.000004857602,0.00001310014,0.00006293647,0.9971003,0.000007042314,0.0002323326,0.0002446877,0.00005186438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499386,0.0001239857,0.04959421,0.0000802257,0.00007024111,0.0001079912,0.000006739606,0.00001622164,0.00006179324],"genre_scores_gemma":[0.9946952,0.00009218894,0.005162424,0.0000044939,0.00002684131,7.178682e-7,0.000002333918,0.00001319456,0.000002581934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04475664,"threshold_uncertainty_score":0.2055566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007048998403791188,"score_gpt":0.2408504517480888,"score_spread":0.2338014533442976,"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."}}