{"id":"W635276009","doi":"","title":"Interactive Audio Content: An Approach to Audio Content for a Dynamic Museum Experience through Augmented Audio Reality and Adaptive Information Retrieval","year":2004,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Canarie","keywords":"Exhibition; Augmented reality; Computer science; Multimedia; Soundscape; Process (computing); Human–computer interaction; Interface (matter); World Wide Web; Sound (geography); Art; Visual arts","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007900925,0.0005866865,0.0003999542,0.002083491,0.001293116,0.007078741,0.001966209,0.00178782,0.006728746],"category_scores_gemma":[0.001568676,0.0004566321,0.0007049375,0.00152081,0.003739031,0.00463878,0.003145217,0.001012902,0.001320683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001697199,"about_ca_system_score_gemma":0.001758802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004911507,"about_ca_topic_score_gemma":0.008118171,"domain_scores_codex":[0.9992979,0.0002007023,0.00004110871,0.0001311567,0.0002534561,0.00007571447],"domain_scores_gemma":[0.9993999,0.000232186,0.00004312798,0.0001291649,0.000109551,0.00008603377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001440945,0.0001780412,0.0007947813,0.001070503,0.00005865188,0.001355767,0.02133767,0.009191492,0.04522052,0.6397168,0.01009829,0.2708334],"study_design_scores_gemma":[0.00008838452,0.0003155229,0.00213287,0.0004827931,0.0002559135,0.00366763,0.01288002,0.06570035,0.02756232,0.1260466,0.7606874,0.0001801886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02014447,0.002191035,0.863781,0.001867365,0.0002010606,0.0003859416,0.0001206521,0.001842347,0.1094662],"genre_scores_gemma":[0.2658551,0.002672902,0.6650642,0.0005403107,0.0002307383,0.0005463585,0.00025588,0.0004158585,0.06441874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007078741,"threshold_uncertainty_score":0.02250987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04458043152750493,"score_gpt":0.2462369202403674,"score_spread":0.2016564887128624,"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."}}