{"id":"W4416183730","doi":"10.1109/ismar67309.2025.00170","title":"Exploring Pointing and Confirmation Techniques for Teleportation Across Varying Elevations in Virtual Reality","year":2025,"lang":"","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of British Columbia, Okanagan Campus; Kelowna General Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Teleportation; Virtual reality; Pointer (user interface); Leverage (statistics); Gaze; Wearable computer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001470993,0.0002004737,0.0002854302,0.0004031908,0.000494768,0.0003173744,0.0002772264,0.0001554452,0.000001929585],"category_scores_gemma":[0.0006395083,0.0002256777,0.00005058332,0.0009674882,0.0001352947,0.001315435,0.0002020433,0.0002692156,9.975633e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001116213,"about_ca_system_score_gemma":0.0001042636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003231105,"about_ca_topic_score_gemma":0.0002204163,"domain_scores_codex":[0.9979556,0.00007526423,0.0007954463,0.0006112473,0.0001333395,0.0004291136],"domain_scores_gemma":[0.9986425,0.0004425921,0.0002699544,0.0003312076,0.0002796976,0.00003402661],"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":[0.00001323227,0.00007399468,0.005463682,0.0001141517,0.00001707573,0.000001974912,0.001734239,0.0001278931,0.003833588,0.2746669,0.00003686843,0.7139164],"study_design_scores_gemma":[0.001579481,0.0003515776,0.203155,0.001272435,0.00004145395,0.00001387443,0.004181574,0.5852166,0.1639447,0.03799042,0.001482905,0.0007698819],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2844661,0.0000276212,0.7108597,0.002847092,0.0002132183,0.0004840309,0.000005783883,0.0003300791,0.00076637],"genre_scores_gemma":[0.9686401,0.00006608426,0.03065206,0.0001445943,0.00002750618,0.000303106,0.000009960878,0.000007820703,0.0001487767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7131466,"threshold_uncertainty_score":0.9202868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.119160019102012,"score_gpt":0.3577026765737226,"score_spread":0.2385426574717106,"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."}}