{"id":"W1989901888","doi":"10.1016/j.buildenv.2004.03.011","title":"Airflow modelling in a computer room","year":2004,"lang":"en","type":"article","venue":"Building and Environment","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Airflow; Gambit; Fluent; Indoor air quality; Computational fluid dynamics; Air quality index; Thermal comfort; Ceiling (cloud); Environmental science; Engineering; Parametric statistics; Simulation; Marine engineering; Meteorology; Computer simulation; Mechanical engineering; Mathematics; Structural engineering; Environmental engineering; Geography; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.00009976528,0.0001049898,0.0001020265,0.00001878179,0.00009497036,0.00001433306,0.00006122598,0.00003056294,0.00008039773],"category_scores_gemma":[8.758232e-7,0.00009296156,0.00002300918,0.00003934787,0.00006443136,0.00007228344,0.0001743409,0.0000743985,0.0001002231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001207734,"about_ca_system_score_gemma":0.000001138092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002680768,"about_ca_topic_score_gemma":0.00001226042,"domain_scores_codex":[0.9992714,0.000008820065,0.0001183931,0.000260753,0.0001291,0.0002115223],"domain_scores_gemma":[0.9998222,0.000009327945,0.00001861389,0.00009533484,2.146972e-7,0.00005432703],"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":[0.000002915687,0.0000555121,0.01358422,0.000002611375,0.00000310807,0.000009679075,0.0003902729,0.9670954,0.0004382188,0.00007417188,0.00005341319,0.01829047],"study_design_scores_gemma":[0.005251803,0.0004943549,0.3754804,0.0003170735,0.00004649635,0.00005852827,0.0003343986,0.507396,0.003832374,0.0331308,0.0718646,0.00179323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8901058,0.0001443567,0.1087029,0.0005423739,0.00003779091,0.00006780239,7.409437e-7,0.00001662974,0.0003816247],"genre_scores_gemma":[0.9571804,0.0002346665,0.04230642,0.0001545978,0.00004427463,0.000008369315,5.635513e-7,0.000007804524,0.00006284858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4596994,"threshold_uncertainty_score":0.3790863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032476709195327,"score_gpt":0.1884202127555387,"score_spread":0.1780954456635854,"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."}}