{"id":"W2071484653","doi":"10.2478/v10168-012-0015-6","title":"Virtual Acoustics at the Service of Music Performance and Recording","year":2012,"lang":"en","type":"article","venue":"Archives of Acoustics","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Room acoustics; Reverberation; Acoustics; Computer science; Rendering (computer graphics); Architectural acoustics; Interface (matter); Audio feedback; Broadband; Transducer; Telecommunications; Computer graphics (images); Physics","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":[0.0005468852,0.0005271281,0.0003888284,0.0003888276,0.0004956061,0.001732245,0.0008810977,0.0005369907,0.02120935],"category_scores_gemma":[0.001447371,0.0002033116,0.0002948126,0.0001978889,0.000835831,0.0007865599,0.002364458,0.0005308388,0.00393392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001998036,"about_ca_system_score_gemma":0.0003671308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000329646,"about_ca_topic_score_gemma":0.0003507573,"domain_scores_codex":[0.999566,0.0001466201,0.00002454176,0.00006561718,0.0001404712,0.00005672349],"domain_scores_gemma":[0.9994189,0.0001761598,0.00003874348,0.0001139795,0.00008438435,0.0001679599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002514857,0.0003299298,0.004184913,0.0006564115,0.00007809191,0.002002432,0.003602726,0.004678766,0.6397415,0.03053328,0.009263461,0.3024136],"study_design_scores_gemma":[0.0005137935,0.005990225,0.04110703,0.0005042647,0.0005761957,0.01920282,0.004235738,0.04957746,0.3870963,0.03919917,0.4514219,0.0005751554],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4092815,0.001809861,0.4697524,0.0008908897,0.001267748,0.0002661605,0.0005620755,0.00565499,0.1105145],"genre_scores_gemma":[0.9207411,0.0004765622,0.04804075,0.0001797302,0.0002715862,0.00009919797,0.0001647618,0.0002951348,0.02973111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02120935,"threshold_uncertainty_score":0.07095236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02956192720617506,"score_gpt":0.2533941799836171,"score_spread":0.223832252777442,"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."}}