{"id":"W2134345987","doi":"10.1145/2043674.2043704","title":"Mobile based multimodal retrieval and navigation of learning objects using a 3D car metaphor","year":2011,"lang":"en","type":"article","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Metaphor; Human–computer interaction; Entertainment; Multimedia; Mobile device; Gesture; Interface (matter); Resource (disambiguation); Modal; World Wide Web; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003160031,0.0004752002,0.0003263508,0.0005235646,0.0003617459,0.001299641,0.0006483587,0.0007615373,0.006302528],"category_scores_gemma":[0.0009835791,0.0001753626,0.0004506989,0.0003513761,0.0003903318,0.001163172,0.001160011,0.0002572624,0.00133157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002147646,"about_ca_system_score_gemma":0.0002361752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001433346,"about_ca_topic_score_gemma":0.002480385,"domain_scores_codex":[0.9997681,0.00008118937,0.00001556587,0.00003467093,0.00007002066,0.00003033926],"domain_scores_gemma":[0.9996971,0.0001232542,0.00002352963,0.00005054162,0.0000687865,0.00003693975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001525676,0.0003258052,0.002444536,0.001292915,0.0001307318,0.003084019,0.008019567,0.01059229,0.4766639,0.05988951,0.01697603,0.419055],"study_design_scores_gemma":[0.0005576363,0.003194555,0.01309704,0.0005940346,0.0005032977,0.01271138,0.005616378,0.3666819,0.2159286,0.0333858,0.3470818,0.0006475984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1922813,0.001705151,0.7560515,0.0006246544,0.0001316363,0.0003287305,0.0003849284,0.005999568,0.04249247],"genre_scores_gemma":[0.7310413,0.0007296568,0.2536047,0.0003110192,0.00004257481,0.0002737168,0.0002689505,0.000166048,0.01356197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006302528,"threshold_uncertainty_score":0.02108407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03076913990538815,"score_gpt":0.2482178287304428,"score_spread":0.2174486888250547,"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."}}