{"id":"W2895639068","doi":"10.1016/j.jweia.2018.09.017","title":"Evaluating wind-driven natural ventilation potential for early building design","year":2018,"lang":"en","type":"article","venue":"Journal of Wind Engineering and Industrial Aerodynamics","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Natural ventilation; Ventilation (architecture); Computational fluid dynamics; Marine engineering; Natural (archaeology); Environmental science; Architectural engineering; Engineering; Mechanical engineering; Geology; Aerospace engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005627949,0.0004926163,0.0003459518,0.0007008837,0.0002788845,0.0006078077,0.0004652448,0.0006163635,0.001593867],"category_scores_gemma":[0.002444071,0.0002739553,0.0004266737,0.0002434786,0.0001698104,0.000678408,0.0002784604,0.0002518172,0.0001808456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004091464,"about_ca_system_score_gemma":0.0003958592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002305235,"about_ca_topic_score_gemma":0.004695405,"domain_scores_codex":[0.9997794,0.00007015793,0.00001098092,0.00002446193,0.00008436023,0.00003063226],"domain_scores_gemma":[0.9987627,0.0008845769,0.00006305211,0.0000622497,0.0001793527,0.0000480922],"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":[0.0008692959,0.0003020616,0.01874636,0.0001385175,0.00004401549,0.0001545097,0.00006225812,0.9008925,0.04107193,0.0004860698,0.0001207116,0.03711182],"study_design_scores_gemma":[0.00002096689,0.0006386582,0.01181206,0.000008723646,0.00002891649,0.00003087482,0.00005645712,0.9694043,0.01766068,0.0001820353,0.0001418522,0.00001445777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873674,0.00007893561,0.01026652,0.00001170092,0.00000585601,0.00002837338,0.00008725426,0.00004402802,0.002109962],"genre_scores_gemma":[0.9985443,0.00001117859,0.001256394,8.386024e-7,5.568913e-7,0.00000732927,0.00003280906,0.000005427828,0.0001411849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002305235,"threshold_uncertainty_score":0.005331993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03169247354931237,"score_gpt":0.2616103589267064,"score_spread":0.229917885377394,"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."}}