{"id":"W1982198449","doi":"10.1162/pres.17.6.527","title":"Virtual Audio Systems","year":2008,"lang":"en","type":"article","venue":"PRESENCE Virtual and Augmented Reality","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; York University; Ontario Tech University","funders":"","keywords":"Headphones; Loudspeaker; Computer science; Virtual reality; Human–computer interaction; Perception; Ambisonics; Position (finance); Audio signal; Speech recognition; Acoustics; Speech coding","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":[0.0009585726,0.0008897209,0.0005956326,0.001148434,0.0008968723,0.004090214,0.002106908,0.001875702,0.08810534],"category_scores_gemma":[0.00269517,0.0003132483,0.0004384983,0.0006463921,0.0005347143,0.002573489,0.004775736,0.0008192475,0.02908554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004946383,"about_ca_system_score_gemma":0.0007555345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008360457,"about_ca_topic_score_gemma":0.0006601246,"domain_scores_codex":[0.9990023,0.0001884483,0.00007118579,0.000150205,0.0004854826,0.0001023426],"domain_scores_gemma":[0.9990923,0.0002102902,0.00005369669,0.0002159985,0.0002777899,0.000149933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000705334,0.0001432306,0.0009648058,0.00105103,0.00007400425,0.0007178003,0.000897975,0.005701838,0.03775767,0.08587696,0.1161857,0.7499237],"study_design_scores_gemma":[0.0001029623,0.0003208598,0.000760838,0.0002673546,0.00005493915,0.001528105,0.0002872438,0.009930616,0.009389476,0.0166826,0.9605888,0.00008627026],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02019595,0.01548606,0.5215428,0.002675726,0.005218556,0.0008024552,0.002782533,0.02454817,0.4067479],"genre_scores_gemma":[0.3769131,0.01516915,0.1956429,0.003021115,0.001769495,0.001219067,0.005438106,0.001556917,0.3992702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08810534,"threshold_uncertainty_score":0.2947417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06512092267952,"score_gpt":0.2918549203840737,"score_spread":0.2267339977045537,"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."}}