{"id":"W4385493703","doi":"10.1016/j.firesaf.2023.103878","title":"Real-time visualization of smoke for fire safety engineering applications","year":2023,"lang":"en","type":"article","venue":"Fire Safety Journal","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Smoke; Visibility; Rendering (computer graphics); Hazardous waste; Computer science; Visualization; Virtual reality; Fidelity; Simulation; Human–computer interaction; Engineering; Computer vision; Artificial intelligence; Optics; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000402115,0.0001278772,0.0001818289,0.0001072816,0.0001506103,0.00002610579,0.0001425194,0.0000959255,0.0001228641],"category_scores_gemma":[0.00007516889,0.0001381924,0.0001160646,0.0004643741,0.00001283987,0.000132566,0.00001864457,0.0001180536,0.00004650592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001130865,"about_ca_system_score_gemma":0.00003807606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002066879,"about_ca_topic_score_gemma":0.000001195921,"domain_scores_codex":[0.9990094,0.00001582524,0.0004731273,0.00009895311,0.0001798989,0.0002228456],"domain_scores_gemma":[0.9993697,0.0001685081,0.00008757458,0.0001535467,0.0001274992,0.00009313665],"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":[0.00005550482,0.00003001323,0.0002736872,0.0002761295,0.0001351698,0.000002318245,0.000518697,0.9384739,0.01368397,0.005881112,0.005107896,0.03556163],"study_design_scores_gemma":[0.0004306902,0.00002391193,0.007280229,0.00006489824,0.00002656056,0.00002424505,0.00005111893,0.9697334,0.0002559226,0.0002444076,0.02170061,0.0001640152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0665333,0.0002659495,0.9242852,0.0005853341,0.0007834589,0.0009415862,0.0004237697,0.001387272,0.004794078],"genre_scores_gemma":[0.978803,0.005998001,0.01069195,0.00004444023,0.001032338,0.000143347,0.001130181,0.0002460763,0.001910614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9135933,"threshold_uncertainty_score":0.5635321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027545221990755,"score_gpt":0.2574222021843233,"score_spread":0.2471467499644158,"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."}}