{"id":"W2030655372","doi":"10.1121/1.4899501","title":"The impact of auralization on design decisions for the House of Commons of the Canadian Parliament","year":2014,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"House of Commons; Computer science; Parliament; Architectural engineering; Intelligibility (philosophy); Acoustics; Law; Engineering; Political science; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005115493,0.0005377269,0.0002923512,0.0009421984,0.003444143,0.004240504,0.000912762,0.0007473222,0.003846189],"category_scores_gemma":[0.01565814,0.0004409518,0.0003487497,0.0006329831,0.0017619,0.0007960192,0.001172151,0.0005571808,0.0006296755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01143426,"about_ca_system_score_gemma":0.007851114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3413973,"about_ca_topic_score_gemma":0.6174507,"domain_scores_codex":[0.9922151,0.001941211,0.0002192113,0.0003216503,0.004233293,0.00106961],"domain_scores_gemma":[0.9933541,0.002090101,0.0003179524,0.0003209517,0.003384045,0.0005328683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003329428,0.0004002634,0.07597762,0.001145937,0.000204628,0.00458123,0.02550803,0.1431415,0.1857395,0.03990924,0.01447808,0.5055846],"study_design_scores_gemma":[0.0002285535,0.004036676,0.3799351,0.0006928883,0.000840383,0.003837868,0.07629539,0.1367048,0.1220279,0.008444789,0.2656288,0.001326942],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8377534,0.0006227492,0.01996878,0.001182945,0.0001503306,0.0002130472,0.0001257234,0.0002763633,0.1397067],"genre_scores_gemma":[0.9858198,0.0001555838,0.006236517,0.00008457643,0.00001262345,0.00002477172,0.00003200335,0.00008231381,0.007551776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6586027,"threshold_uncertainty_score":0.6788203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05145240070262888,"score_gpt":0.3187347048589414,"score_spread":0.2672823041563125,"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."}}