{"id":"W4401933558","doi":"10.1016/j.scs.2024.105773","title":"High-resolution regional climate–CFD integrated modelling to inform climate responsive design of northern buildings in a changing climate","year":2024,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Wind Energy Institute of Canada; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Environmental science; Climate model; Computational fluid dynamics; Climate change; Climatology; Environmental resource management; Engineering; Geology; Aerospace engineering; Oceanography","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":[0.0005305823,0.0005777935,0.000632783,0.0004643348,0.0005855757,0.001644528,0.0007701052,0.001152186,0.002466742],"category_scores_gemma":[0.001034419,0.0004144056,0.001117849,0.0005024461,0.000428296,0.0008848373,0.001018898,0.0008449113,0.0005200858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009233363,"about_ca_system_score_gemma":0.001641256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02456824,"about_ca_topic_score_gemma":0.03754004,"domain_scores_codex":[0.9997663,0.00006667968,0.00001346733,0.00003878838,0.00007048785,0.00004439804],"domain_scores_gemma":[0.9997039,0.000110276,0.00002630122,0.0000593232,0.00006841491,0.00003170343],"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":[0.00002533566,0.00003208625,0.004989292,0.00005323216,0.00002407551,0.00007310241,0.00009704605,0.9839972,0.002608757,0.00126788,0.0003864222,0.006445596],"study_design_scores_gemma":[0.000008400053,0.00001515674,0.001497464,0.00001493589,0.00001115827,0.00001545528,0.00008957245,0.9952416,0.0006624688,0.0007296148,0.001699419,0.00001470913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6669362,0.0009311626,0.2922418,0.0009491289,0.0002353735,0.0002386607,0.002779026,0.002097581,0.03359104],"genre_scores_gemma":[0.9511725,0.0002907726,0.04568426,0.00005723306,0.00001740949,0.0001014485,0.0008632293,0.0001610335,0.00165208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02456824,"threshold_uncertainty_score":0.04885048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258808405924515,"score_gpt":0.221552070843846,"score_spread":0.2089639867846008,"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."}}