{"id":"W1994928394","doi":"10.1145/1013367.1013488","title":"Using semantic web approach in augmented audio reality system for museum visitors","year":2004,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Augmented reality; Soundscape; Heuristics; Visitor pattern; Semantics (computer science); Human–computer interaction; Semantic Web; Interface (matter); Object (grammar); World Wide Web; Sound (geography); Artificial intelligence; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004111314,0.000136573,0.0002157458,0.0001214928,0.0001491951,0.0001639706,0.0004299927,0.0000648608,0.000001089583],"category_scores_gemma":[0.00001202706,0.0001167614,0.00006021008,0.0004711871,0.00002342226,0.0004144508,0.0001271681,0.00007799918,0.000003760234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002478384,"about_ca_system_score_gemma":0.0001877761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002108432,"about_ca_topic_score_gemma":0.00001941751,"domain_scores_codex":[0.9987041,0.00003487593,0.000298484,0.0004286928,0.0002002502,0.0003336295],"domain_scores_gemma":[0.9994145,0.00002405868,0.0001015013,0.0003406982,0.00005074394,0.00006848223],"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":[0.0001337036,0.002177923,0.007222599,0.01092536,0.0002644626,0.0001815305,0.01460647,0.1748889,0.06840584,0.6728492,0.003845959,0.04449805],"study_design_scores_gemma":[0.001761378,0.0000372879,0.0007819585,0.0003879982,0.00001356854,0.00004932547,0.0004794835,0.9872164,0.007408286,0.001195322,0.0002950731,0.0003739852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0557925,0.00003579649,0.9397401,0.0005108295,0.0002996561,0.0002814204,9.800242e-7,0.0002211162,0.00311757],"genre_scores_gemma":[0.8535858,6.206987e-7,0.1460998,0.0001650817,0.00008278549,0.00001404216,0.000001523401,0.000008246929,0.00004208556],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8123274,"threshold_uncertainty_score":0.4761392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05486735030786977,"score_gpt":0.288193075835007,"score_spread":0.2333257255271372,"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."}}