{"id":"W2081786058","doi":"10.1121/1.4788002","title":"Relationship between ventilation, air quality, and acoustics in ‘‘green’’ and ‘‘brown’’ buildings","year":2006,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ventilation (architecture); Architectural engineering; Indoor air quality; Green building; Environmental science; Environmental quality; Quality (philosophy); Acoustics; Natural ventilation; Computer science; Meteorology; Engineering; Environmental engineering; Physics; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004562787,0.0002041745,0.0002259134,0.0005173107,0.0003670921,0.0004834581,0.00014232,0.0003313443,0.0006863922],"category_scores_gemma":[0.001288772,0.0002308309,0.0001034106,0.00040821,0.000702649,0.0003205063,0.0005058728,0.0003635648,0.0001072682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003509282,"about_ca_system_score_gemma":0.0002131518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007499326,"about_ca_topic_score_gemma":0.01163236,"domain_scores_codex":[0.9994254,0.0001882809,0.00002091268,0.00008461781,0.0001553637,0.0001254103],"domain_scores_gemma":[0.9989516,0.000465551,0.0001616009,0.00004504636,0.0002088648,0.0001673452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001665285,0.0002894582,0.8824047,0.00009465085,0.0001628466,0.0003878259,0.003827404,0.003383069,0.08362514,0.0007122118,0.0002905157,0.02315692],"study_design_scores_gemma":[0.000008663324,0.0003713267,0.9889807,0.000004724853,0.00003085887,0.0001491032,0.001443413,0.001318678,0.007240951,0.000145348,0.0002910303,0.0000151229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992841,0.00004621305,0.0003109922,0.000010377,0.000001304417,0.000002231387,0.00001738997,0.000004182403,0.0003231378],"genre_scores_gemma":[0.9996653,0.00001669546,0.0001748254,0.000006781379,0.000001565196,0.000002008778,0.00003066749,0.000002642696,0.0000995857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007499326,"threshold_uncertainty_score":0.01491135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225021405016212,"score_gpt":0.2662873560930352,"score_spread":0.243785215591414,"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."}}