{"id":"W4402474292","doi":"10.1109/ccece59415.2024.10667136","title":"Towards Robotic Haptic Proxies in Virtual Reality","year":2024,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Haptic technology; Virtual reality; Computer science; Human–computer interaction; Computer graphics (images); Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002268448,0.0006054899,0.000476021,0.0003444812,0.000297434,0.002200281,0.001465,0.001137168,0.003871391],"category_scores_gemma":[0.003865733,0.0004334016,0.0002948986,0.0002111021,0.001285072,0.002624427,0.003002558,0.000944633,0.001024492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003764566,"about_ca_system_score_gemma":0.000425855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005874226,"about_ca_topic_score_gemma":0.0003674843,"domain_scores_codex":[0.9984354,0.0005766249,0.00006554758,0.0001395482,0.0006531431,0.000129616],"domain_scores_gemma":[0.9986443,0.0005412884,0.0001502454,0.0003070887,0.0002190557,0.0001379954],"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":[0.001403611,0.0002748345,0.002185541,0.0008531625,0.00007221549,0.001156101,0.002472492,0.03611417,0.5794926,0.1627167,0.004055302,0.2092034],"study_design_scores_gemma":[0.0003050495,0.004609186,0.004992424,0.0005046193,0.0001243291,0.00373167,0.001458447,0.3586429,0.4424441,0.03847202,0.1443462,0.0003690768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.084905,0.0009986026,0.9021211,0.0005366797,0.0001141245,0.0001748552,0.00006781013,0.002641112,0.008440694],"genre_scores_gemma":[0.6134509,0.0007681786,0.3762434,0.0002756627,0.00007328187,0.0001362486,0.0001152226,0.0002084942,0.008728645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003871391,"threshold_uncertainty_score":0.01295108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02283514587848549,"score_gpt":0.250910720307906,"score_spread":0.2280755744294205,"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."}}