{"id":"W3106865732","doi":"10.1109/svr51698.2020.00058","title":"Spring Stepper: A Seated VR Locomotion Controller","year":2020,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Usability; Computer science; USable; Human–computer interaction; Stepper; Rudder; Task (project management); Virtual reality; Controller (irrigation); Simulation; Touchpad; Engineering; Multimedia; Computer hardware; Marine engineering","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":[0.00008096782,0.00006082358,0.00008557777,0.00002029769,0.00005725408,0.0001239856,0.0003162832,0.0000255419,0.00002833214],"category_scores_gemma":[0.00003678341,0.00004998604,0.00003143085,0.000290355,0.00001048101,0.0002796901,0.0001024949,0.0000562007,0.000434209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001567295,"about_ca_system_score_gemma":0.00002203299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007752542,"about_ca_topic_score_gemma":0.000005444953,"domain_scores_codex":[0.999414,0.00002140852,0.0001136129,0.0001909299,0.0001230349,0.0001369624],"domain_scores_gemma":[0.9995701,0.00002250775,0.00002714322,0.0001851243,0.00004031437,0.0001547836],"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":[0.00001996425,0.0001490263,0.000761118,0.00002003855,0.00004920015,0.000005343104,0.001570754,0.0008975733,0.03450475,0.5940514,0.007141259,0.3608296],"study_design_scores_gemma":[0.0009800773,0.0001879355,0.01006395,0.000007465408,0.000005136983,0.000003183028,0.00004838011,0.9035717,0.005722801,0.001236805,0.07796071,0.0002118025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01012079,0.00001900833,0.9649515,0.01396672,0.00002154719,0.0001675921,8.003527e-7,0.0002583381,0.01049377],"genre_scores_gemma":[0.9883579,0.000004748331,0.008266144,0.003153129,0.00004939018,0.00000842959,6.485195e-7,0.000003377088,0.0001562179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9782372,"threshold_uncertainty_score":0.5581023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03351939232601875,"score_gpt":0.2370508931061557,"score_spread":0.203531500780137,"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."}}