{"id":"W4401511223","doi":"10.3390/s24165168","title":"SmartVR Pointer: Using Smartphones and Gaze Orientation for Selection and Navigation in Virtual Reality","year":2024,"lang":"en","type":"article","venue":"Sensors","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Pointer (user interface); Computer science; Gaze; Laser pointer; Virtual reality; Computer vision; Human–computer interaction; Phone; Mobile phone; Optical head-mounted display; Artificial intelligence; Computer graphics (images)","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":[0.0001471175,0.00006515843,0.00006462169,0.000097959,0.00005930501,0.0001110593,0.00003150567,0.00003001629,0.000001317978],"category_scores_gemma":[0.00002924691,0.00006370425,0.00001871847,0.0001724867,0.00001763264,0.0004744491,0.00002333113,0.00005986128,0.000002053744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005236416,"about_ca_system_score_gemma":0.00001716247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001648815,"about_ca_topic_score_gemma":0.00005434606,"domain_scores_codex":[0.9994504,0.00004253852,0.0001077594,0.0002384215,0.00005817187,0.0001027312],"domain_scores_gemma":[0.9997528,0.000091277,0.0000245874,0.00004966728,0.00005976947,0.0000219336],"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":[0.0004618894,0.0001358423,0.01422933,0.0005300476,0.0001308988,0.00005183272,0.04232178,0.004019726,0.7244007,0.1480499,0.0009602191,0.06470781],"study_design_scores_gemma":[0.0003598658,0.0001558681,0.01578336,0.0001397071,0.00001023716,0.00006366593,0.0007814141,0.9396735,0.04036571,0.00210384,0.0004313953,0.0001314707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8857227,0.00003773612,0.1134539,0.0002443197,0.0003454166,0.00012237,0.000004253247,0.00001457486,0.00005473846],"genre_scores_gemma":[0.9989702,0.000007856042,0.0008583585,0.00004571579,0.00004284902,0.000004553909,0.000009107473,0.00000477462,0.0000565906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9356537,"threshold_uncertainty_score":0.2597784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127685964199727,"score_gpt":0.3094027750414207,"score_spread":0.2881259153994234,"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."}}