{"id":"W2004266377","doi":"10.1115/ht2012-58132","title":"A Numerical Study of the Effect of Thermal Mass on the Transient Thermal Performance of a Simple Three Storied Atrium Building","year":2012,"lang":"en","type":"article","venue":"","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reynolds-averaged Navier–Stokes equations; Thermal mass; Mechanics; Computational fluid dynamics; Transient (computer programming); Turbulence; Thermal; Mass flow rate; Heat transfer; Buoyancy; Fluent; Thermal insulation; Mechanical engineering; Materials science; Engineering; Meteorology; Physics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004977105,0.0001295791,0.0002223493,0.00001020405,0.0001254471,0.000002426052,0.0003163627,0.00002485379,0.0003133801],"category_scores_gemma":[0.00002007931,0.00005330483,0.0001068189,0.0001974809,0.0001753254,0.00007473895,0.0001129944,0.0001063691,0.000006057468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002573996,"about_ca_system_score_gemma":0.000002983783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002239589,"about_ca_topic_score_gemma":0.000009881441,"domain_scores_codex":[0.9988568,0.0001401315,0.0002160248,0.0001194581,0.0004325487,0.0002349985],"domain_scores_gemma":[0.9993434,0.0002210292,0.0001075361,0.0002937511,0.000005358625,0.00002895824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001380114,0.0002552965,0.8849165,0.00001645406,0.00004502637,1.031368e-7,0.002681939,0.004974285,0.1044847,0.00002243276,0.00004357071,0.002421643],"study_design_scores_gemma":[0.0004479739,0.001178732,0.8898229,0.00001029977,0.00003624704,2.429884e-7,0.0003707998,0.0008175538,0.1071947,0.000001622371,0.00005220716,0.00006670475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964709,0.00002086603,0.00003569663,0.00008898255,0.00009058289,0.0004801885,0.000002126378,0.000007373117,0.002803227],"genre_scores_gemma":[0.999872,7.463976e-7,0.00001889312,0.0000195341,0.00003705271,0.00001872126,6.922973e-8,0.000007921624,0.00002503554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004906341,"threshold_uncertainty_score":0.3431292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039561203133509,"score_gpt":0.2205999832551665,"score_spread":0.2102043712238314,"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."}}