{"id":"W2804604475","doi":"10.1007/978-3-319-91863-1_5","title":"Learning Gait Parameters for Locomotion in Virtual Reality Systems","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Virtual reality; Human–computer interaction; Usability; Visualization; Stereoscopy; Virtual machine; Gait; Artificial intelligence; Computer vision","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00210843,0.0004287362,0.0005423856,0.0007706436,0.0002659553,0.00074879,0.002259712,0.0003633357,0.000005196068],"category_scores_gemma":[0.0003116563,0.0004087167,0.0001191451,0.0006937509,0.000553755,0.000659975,0.0006329896,0.0006625658,0.00003733623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005572942,"about_ca_system_score_gemma":0.0004790765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001590403,"about_ca_topic_score_gemma":0.0001891705,"domain_scores_codex":[0.9963655,0.00007971292,0.0006742727,0.001455599,0.000720133,0.0007047998],"domain_scores_gemma":[0.9971982,0.0007406537,0.0003838698,0.001195227,0.0002879546,0.0001940533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001649625,0.00006523102,0.00003333708,0.00008290453,0.0000120861,0.0000106731,0.001854762,0.3629765,0.0001096016,0.06101225,0.0001533145,0.5736728],"study_design_scores_gemma":[0.0003113308,0.0006755678,0.000111315,0.0004088064,0.0000049697,0.00002297608,0.000001296336,0.9248143,0.0002364458,0.0693237,0.003590116,0.0004991335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006321928,0.00007655335,0.9956908,0.0005906473,0.000938035,0.0009772305,0.00001029647,0.0001286065,0.0009556687],"genre_scores_gemma":[0.8501719,0.00006300218,0.1474638,0.0007555241,0.0006130313,0.0001207241,0.00003707829,0.00005847369,0.0007165143],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8495397,"threshold_uncertainty_score":0.9998364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0379101529758815,"score_gpt":0.2850288819953383,"score_spread":0.2471187290194568,"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."}}