{"id":"W4256327089","doi":"10.5383/ijtee.12.02.003","title":"Smoke Spread in Underground Metro Station","year":2015,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"Fire dynamics and safety research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smoke; Extraction (chemistry); Stairs; Environmental science; Subway station; Marine engineering; Visibility; Ventilation (architecture); Fire Dynamics Simulator; Engineering; Simulation; Meteorology; Waste management; Civil engineering; Transport engineering; Mechanical engineering; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001321449,0.0003885723,0.0003425858,0.0003760502,0.0004567021,0.0005297309,0.0004611759,0.0006885722,0.001123529],"category_scores_gemma":[0.000359558,0.0001537933,0.0005082568,0.0003045607,0.0002545434,0.0004035456,0.000384397,0.0002881956,0.0001148212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004354715,"about_ca_system_score_gemma":0.0003232531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01619628,"about_ca_topic_score_gemma":0.01185841,"domain_scores_codex":[0.9998891,0.00001347623,0.000005969127,0.00003060341,0.0000275356,0.00003323366],"domain_scores_gemma":[0.9998317,0.00006192578,0.00002446009,0.00001472377,0.00003739808,0.00002976893],"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":[0.000700195,0.0004678092,0.1015699,0.0001532481,0.00008990112,0.00228324,0.0002509943,0.8335074,0.0466738,0.0006242268,0.0005065322,0.01317261],"study_design_scores_gemma":[0.00006353162,0.000462293,0.04355609,0.00001793742,0.00006003677,0.0001920407,0.0005177883,0.940749,0.01362822,0.0002456334,0.0004678445,0.00003955848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984811,0.00003801266,0.0006402175,0.00001982053,0.000005334342,0.00000669847,0.00006061698,0.00002565326,0.0007225447],"genre_scores_gemma":[0.9993741,0.00002191984,0.0002372005,0.00000308253,0.000001234744,0.00000268689,0.00005685513,0.000002468923,0.0003006059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01619628,"threshold_uncertainty_score":0.03220403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248951587069068,"score_gpt":0.2212207696197045,"score_spread":0.2087312537490139,"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."}}