{"id":"W2156303376","doi":"10.1109/vecims.2011.6053849","title":"Simulation of a virtual reality tracking system","year":2011,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Virtual reality; Tracking (education); Computer science; Position tracking; Orientation (vector space); Tracking system; Position (finance); Augmented reality; Computer vision; Artificial intelligence; Human–computer interaction; Simulation; Computer graphics (images); Inertial measurement unit","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":[0.0002310141,0.0000449849,0.00007627118,0.00003850994,0.0000408394,0.00001145906,0.0003491956,0.00003172722,0.00001064868],"category_scores_gemma":[0.00001808129,0.00003997047,0.00002997155,0.0002093503,0.00002318793,0.0002282451,0.00007647218,0.00003338166,0.00002143071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000302276,"about_ca_system_score_gemma":0.00001993491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002046884,"about_ca_topic_score_gemma":0.0000137996,"domain_scores_codex":[0.9993863,0.00003884498,0.0002067077,0.0001524867,0.0001349139,0.0000808181],"domain_scores_gemma":[0.9992587,0.00007516125,0.00009819752,0.0004499577,0.00008430277,0.00003368111],"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":[0.000001986263,0.00005919708,0.0001134746,0.00001558078,0.000008554171,4.71234e-7,0.001151922,0.02092465,0.0003161797,0.9656987,0.00002621025,0.01168313],"study_design_scores_gemma":[0.00008037578,0.00002610956,0.003236654,0.00001164541,0.000003951894,0.000001338238,0.0001575136,0.9901944,0.004983105,0.001166499,0.00008421278,0.00005414594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003548207,0.000002368596,0.9708643,0.00004648934,0.00003668496,0.0001161214,0.000001611942,0.0001863983,0.02519781],"genre_scores_gemma":[0.9914636,2.188566e-7,0.008439976,0.00001824397,0.00000893399,0.000007470733,0.0000010756,0.000002354794,0.00005811541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9879154,"threshold_uncertainty_score":0.1629948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08787653616033902,"score_gpt":0.2951997225451479,"score_spread":0.2073231863848089,"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."}}