{"id":"W1963708897","doi":"10.4137/jen.s13448","title":"Design and Application of a Novel Virtual Reality Navigational Technology (VRNChair)","year":2014,"lang":"en","type":"article","venue":"Journal of Experimental Neuroscience","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Joystick; Virtual reality; Computer science; Human–computer interaction; Simulator sickness; Wheelchair; Task (project management); Virtual machine; Simulation; Engineering","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":[0.0004963394,0.00007960807,0.0001519779,0.0001906813,0.00008426881,0.00002576024,0.000664181,0.00005015905,3.309087e-7],"category_scores_gemma":[0.000127884,0.00006849564,0.00002783526,0.0004212696,0.0004468573,0.00028826,0.0001614266,0.0001417532,4.180048e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002187727,"about_ca_system_score_gemma":0.00004067929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002120603,"about_ca_topic_score_gemma":5.807714e-8,"domain_scores_codex":[0.9990548,0.00004551641,0.0002966953,0.000213867,0.0002635158,0.0001255779],"domain_scores_gemma":[0.999177,0.00008032082,0.0003822003,0.0002070219,0.0001004358,0.00005297552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007883396,0.0001765582,0.000260121,0.000001203063,9.66327e-7,0.000001566987,0.0000599841,0.0003519333,0.9168702,0.07311025,0.00001154193,0.009147794],"study_design_scores_gemma":[0.0005755099,0.001331666,0.004711866,0.00002089252,0.000002565786,0.0004692724,0.00004728564,0.1841569,0.8059062,0.002433311,0.0002439544,0.0001005327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2308034,0.00004044863,0.7682279,0.0007143673,0.0001204149,0.00004899224,3.323337e-7,0.00002412498,0.00002001134],"genre_scores_gemma":[0.9444997,0.000003188084,0.0553682,0.0001056332,0.00001345305,0.000003336305,5.93779e-8,0.000002799437,0.000003593403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7136964,"threshold_uncertainty_score":0.2793171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02762322107123551,"score_gpt":0.2994957368743775,"score_spread":0.271872515803142,"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."}}