{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000146715,0.00006518566,0.00007783078,0.0001255517,0.000004817177,0.00002395655,0.0001085104,0.00002587874,0.00001431527],"category_scores_gemma":[0.000009896055,0.0000616851,0.00002536648,0.00002674375,0.00001162112,0.0001955044,0.00002883489,0.0001334434,0.000002283463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002021848,"about_ca_system_score_gemma":0.000005016035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002045176,"about_ca_topic_score_gemma":0.000004222696,"domain_scores_codex":[0.9994488,0.00000574243,0.0001737738,0.00004064902,0.0002405847,0.00009043754],"domain_scores_gemma":[0.9998505,0.00002110749,0.0000219974,0.00002941958,0.000008118935,0.00006883103],"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":[0.00004250564,0.00003083565,0.01952096,0.000008084243,0.00009023719,0.0000881283,0.0003251934,0.9473814,0.02036858,0.0001262265,0.00001454431,0.01200335],"study_design_scores_gemma":[0.001207221,0.00008492442,0.1715842,0.0000518388,0.000006988758,0.0001107035,0.0003673105,0.8240238,0.001140239,0.0001897197,0.001068108,0.0001648721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966528,0.0004522963,0.002188555,0.00007608553,0.0003698732,0.00001997167,0.000008111888,0.000007549161,0.0002247721],"genre_scores_gemma":[0.9992664,0.00018565,0.0004254128,0.000008787251,0.00008192763,8.113759e-7,0.000006566817,0.00001197376,0.00001246903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1520633,"threshold_uncertainty_score":0.2515445,"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."}}