{"id":"W4392907395","doi":"10.32920/25412704.v1","title":"Indoor Soundscape and Natural Ventilation in Residential Buildings","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Soundscape; Doors; Natural ventilation; Architectural engineering; Context (archaeology); Enclosure; Ventilation (architecture); Window (computing); Natural (archaeology); Noise (video); Computer science; Limiting; Environmental science; Acoustics; Engineering; Sound (geography); Telecommunications; Geography; Artificial intelligence; Mechanical engineering","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":[0.0007115768,0.0001979502,0.0002594586,0.001222962,0.0007072755,0.002280742,0.0003579613,0.0005056662,0.002720183],"category_scores_gemma":[0.00289914,0.0001559467,0.0002265266,0.001299427,0.001941182,0.0008675006,0.001312268,0.0003191208,0.0002238014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008073347,"about_ca_system_score_gemma":0.0006514831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008995518,"about_ca_topic_score_gemma":0.01241679,"domain_scores_codex":[0.9989759,0.0003937916,0.00006432525,0.0001258709,0.000294324,0.0001459493],"domain_scores_gemma":[0.9982306,0.0008451894,0.0003979813,0.00006123992,0.000224349,0.0002407063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007145709,0.0007550396,0.6665831,0.002784832,0.0002823719,0.002742565,0.109302,0.002336742,0.0181067,0.01502286,0.001851398,0.1795178],"study_design_scores_gemma":[0.00000411426,0.0001470915,0.9625815,0.0001746409,0.00003445938,0.0004388259,0.03037056,0.000400845,0.0005235978,0.001495187,0.003798064,0.00003111946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973225,0.00347445,0.001372863,0.0002157557,0.00003830537,0.0000265305,0.0001216514,0.00001796455,0.0215074],"genre_scores_gemma":[0.9985394,0.000496149,0.0002853265,0.00002795327,0.00001978006,0.000008875616,0.00002522898,0.000002970805,0.0005943772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008995518,"threshold_uncertainty_score":0.01788634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02299411192388193,"score_gpt":0.3969647996573593,"score_spread":0.3739706877334774,"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."}}