{"id":"W4283026535","doi":"10.14236/ewic/eva2022.39","title":"Augmented Symphony: An augmented reality application for immersive music listening","year":2022,"lang":"en","type":"article","venue":"Electronic workshops in computing","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Augmented reality; Symphony; Active listening; Computer science; Human–computer interaction; Multimedia; Art; Psychology; Art history; Communication","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":[0.0002989521,0.0008614624,0.0004642365,0.0004791531,0.0003240281,0.0009952494,0.0008983779,0.0006940237,0.03825969],"category_scores_gemma":[0.0006866264,0.000390286,0.000572435,0.0002900604,0.000226567,0.0007474914,0.002192478,0.0004968413,0.00431378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001087632,"about_ca_system_score_gemma":0.0002140483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005362495,"about_ca_topic_score_gemma":0.001340869,"domain_scores_codex":[0.9997651,0.0000384809,0.00001329137,0.00003164188,0.0001221953,0.00002928411],"domain_scores_gemma":[0.9997726,0.00009109449,0.00001126841,0.00004219184,0.00004063641,0.0000421302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002809693,0.0003243583,0.001827064,0.001607002,0.0002110597,0.001689833,0.00233571,0.003185679,0.3985451,0.005696486,0.06882277,0.5129452],"study_design_scores_gemma":[0.0009045173,0.003046086,0.0325589,0.0005521505,0.0008372473,0.01023538,0.001702824,0.09317133,0.2042735,0.005778334,0.6462646,0.0006751046],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1690368,0.002889238,0.6877553,0.0006185737,0.001153979,0.0007281132,0.00549649,0.06263027,0.0696914],"genre_scores_gemma":[0.6222585,0.002028565,0.2718006,0.0009673395,0.000477045,0.0006192331,0.004495217,0.005427494,0.09192596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03825969,"threshold_uncertainty_score":0.1279914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01882156584489229,"score_gpt":0.289176289417329,"score_spread":0.2703547235724367,"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."}}