{"id":"W4402521160","doi":"10.1145/3677386.3682077","title":"Mapping Real World Locomotion Speed to the Virtual World in Large Field of View Virtual Environments","year":2024,"lang":"en","type":"article","venue":"","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Virtual world; Computer science; Virtual reality; Field (mathematics); Computer graphics (images); Human–computer interaction; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001983062,0.00008722321,0.00009877946,0.0002423799,0.000019634,0.00002253744,0.00007468192,0.00002959684,0.0009595337],"category_scores_gemma":[0.00001091468,0.00007133029,0.00003812758,0.0005864464,0.000006571485,0.00009363957,0.00002945659,0.0001477664,0.0002788582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005753154,"about_ca_system_score_gemma":0.000004696965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006571098,"about_ca_topic_score_gemma":0.002341983,"domain_scores_codex":[0.999353,0.00002627142,0.0002281528,0.0001139752,0.0001448541,0.0001337461],"domain_scores_gemma":[0.9997599,0.00008391477,0.00001094726,0.0001060099,0.0000046491,0.0000345399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001133163,0.000323749,0.007218951,0.0004231968,0.0002324943,0.00005217201,0.008319424,0.04765433,0.07944805,0.05573361,0.04254687,0.7579339],"study_design_scores_gemma":[0.001730919,0.0004051249,0.06962863,0.002144507,0.00005426257,0.000003971656,0.001773375,0.3002435,0.1343981,0.0007852617,0.4878208,0.001011523],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7776098,0.0002894392,0.1352887,0.002820875,0.001819268,0.001089607,0.00004031892,0.0004905542,0.0805515],"genre_scores_gemma":[0.9952933,0.00004994742,0.00006581419,0.0002822842,0.00009195776,0.00001126906,0.00002335372,0.00001441123,0.004167645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7569223,"threshold_uncertainty_score":0.9999537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381811724100358,"score_gpt":0.2502346982937468,"score_spread":0.2364165810527433,"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."}}