{"id":"W2057489541","doi":"10.1007/s11257-005-2304-5","title":"Ontology-Based User Modeling in an Augmented Audio Reality System for Museums","year":2005,"lang":"en","type":"article","venue":"User Modeling and User-Adapted Interaction","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":114,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Augmented reality; Ontology; Human–computer interaction; Context (archaeology); Ubiquitous computing; Software deployment; User interface; Perspective (graphical); Multimedia; Context awareness; World Wide Web; Interface (matter); User modeling; Software engineering; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000680699,0.0003872828,0.000442449,0.0008434911,0.0003301981,0.0002355875,0.0005232215,0.0003764597,0.000007514373],"category_scores_gemma":[0.0000843406,0.0004028237,0.00009995775,0.0004312407,0.00003509746,0.0027711,0.0001106972,0.0006910361,0.00001473375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007956544,"about_ca_system_score_gemma":0.00008841249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008078242,"about_ca_topic_score_gemma":0.002410642,"domain_scores_codex":[0.997079,0.0001872423,0.0009229802,0.001002244,0.0002643733,0.0005441553],"domain_scores_gemma":[0.9980913,0.0001087633,0.0003130143,0.0007641109,0.00062875,0.00009410216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004846295,0.0004161095,0.0004181789,0.000108974,0.00007784692,0.000008989745,0.001393293,0.9571143,0.01008623,0.0184578,0.000247796,0.01118579],"study_design_scores_gemma":[0.00139631,0.0002413635,0.00006130661,0.0003074912,0.00002524333,0.00003315887,0.0007925844,0.991955,0.003299525,0.0002299444,0.001270378,0.0003877008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4543933,0.00002093256,0.5432656,0.0008914309,0.0005247996,0.0003453265,0.000005045654,0.0004598475,0.00009366556],"genre_scores_gemma":[0.9636124,0.000006731369,0.03545836,0.0004013418,0.0001617231,0.0001859845,0.00005898231,0.0000414659,0.00007302732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5092191,"threshold_uncertainty_score":0.9998423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08134563134936733,"score_gpt":0.3245467732508063,"score_spread":0.2432011419014389,"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."}}