{"id":"W3044939136","doi":"","title":"Improving the ergonomics of hand tracking inputs to VR HMD's","year":2017,"lang":"en","type":"article","venue":"Digital Library (University of West Bohemia)","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Virtual reality; Tracking (education); Human–computer interaction; Simulation; Physical medicine and rehabilitation; Psychology; Medicine","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":[0.00004685621,0.00008819447,0.0001565408,0.00008853798,0.0003911412,0.0002044595,0.0006496006,0.00007059552,0.001521515],"category_scores_gemma":[0.00003195529,0.0000920594,0.0001115799,0.00005919997,0.0002181505,0.002198621,0.000264121,0.0001214565,0.0002467023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001296795,"about_ca_system_score_gemma":0.00003898474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006836882,"about_ca_topic_score_gemma":0.0000148098,"domain_scores_codex":[0.9994424,0.00001727927,0.0001448351,0.0001780334,0.00008525527,0.000132223],"domain_scores_gemma":[0.9989988,0.00007788916,0.0002981317,0.0005120994,0.00003377004,0.0000792963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002856444,0.001231898,0.2006512,0.0002715742,0.0008081182,0.0001629488,0.06314664,0.0001955721,0.008298653,0.06481207,0.1235994,0.5339655],"study_design_scores_gemma":[0.001611683,0.0002311322,0.7175757,0.0001335442,0.00004432792,0.00002412739,0.008544239,0.0004787694,0.005115886,0.0004451702,0.2653361,0.0004593534],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8262169,0.000009252545,0.0006599863,0.001560371,0.0002714315,0.0001107536,0.0001924819,0.00004766621,0.1709311],"genre_scores_gemma":[0.9886205,0.000001993609,0.0001583967,0.0001402654,0.00005438504,2.525772e-7,0.00003154502,0.00001176002,0.01098093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5335062,"threshold_uncertainty_score":0.9993913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02108829903019669,"score_gpt":0.2496716686858899,"score_spread":0.2285833696556932,"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."}}