{"id":"W2102983855","doi":"10.1109/cse.2010.66","title":"Augmented Reality System Design and Scenario Study for Location-Based Adaptive Mobile Learning","year":2010,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Augmented reality; Computer science; Virtual reality; Human–computer interaction; Object (grammar); 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":[0.0008098396,0.0007034778,0.0003242794,0.0006130668,0.0004098569,0.0009487316,0.0008327513,0.001078364,0.005427154],"category_scores_gemma":[0.001489943,0.0003737005,0.0004956836,0.000350218,0.0003715623,0.001067708,0.0008334753,0.0004977676,0.00120435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002928701,"about_ca_system_score_gemma":0.0004848162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005543616,"about_ca_topic_score_gemma":0.000660197,"domain_scores_codex":[0.9989206,0.0005716141,0.0000656281,0.0001129036,0.0002780368,0.0000513075],"domain_scores_gemma":[0.9993675,0.00020848,0.00004930816,0.0001073631,0.0002173044,0.00004998559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009265314,0.0004875063,0.002761304,0.001764824,0.0001839343,0.003080518,0.002973666,0.1248117,0.2312263,0.09472094,0.007280999,0.5297818],"study_design_scores_gemma":[0.0002793516,0.002600913,0.003544832,0.0002381099,0.0002008227,0.006090887,0.001117356,0.6116757,0.1981552,0.01568515,0.1601217,0.0002900088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01345042,0.00016568,0.9809714,0.0001011736,0.00004838976,0.0003003255,0.00005850601,0.0007698369,0.004134418],"genre_scores_gemma":[0.3033946,0.0005654027,0.6887731,0.00007157387,0.00004843332,0.00103679,0.0002857873,0.00008214794,0.005742132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005427154,"threshold_uncertainty_score":0.01815563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03269570888592657,"score_gpt":0.2851028473485523,"score_spread":0.2524071384626257,"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."}}