{"id":"W3199150524","doi":"10.36227/techrxiv.15175869.v1","title":"Human Teleoperation - A Haptically Enabled Mixed Reality System for Teleultrasound","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Teleoperation; Headset; Computer science; Virtual reality; Robot; Computer vision; Artificial intelligence; Latency (audio); Human–computer interaction; Flexibility (engineering); Simulation; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005656983,0.0005547648,0.0003782845,0.0002832429,0.0002177669,0.0007295933,0.0009889568,0.000851192,0.005913042],"category_scores_gemma":[0.0008895391,0.0002782521,0.0003476012,0.0001281659,0.0003858498,0.000669449,0.001055386,0.0004268814,0.0009547622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001606169,"about_ca_system_score_gemma":0.0002536115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003512641,"about_ca_topic_score_gemma":0.0003569572,"domain_scores_codex":[0.9994538,0.0001412914,0.00002669991,0.0001007227,0.000236643,0.00004087707],"domain_scores_gemma":[0.9996365,0.000131563,0.00004990073,0.00007352385,0.00005054184,0.00005793048],"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":[0.001679736,0.0004049261,0.001291303,0.0005465882,0.00008658328,0.001098806,0.001272402,0.004910751,0.6618508,0.003466271,0.005165075,0.3182268],"study_design_scores_gemma":[0.0009083932,0.008298891,0.02098736,0.0002568318,0.0003876813,0.01304303,0.0006028325,0.2956647,0.5252048,0.006414803,0.1277428,0.0004878498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09215853,0.0007088011,0.8909877,0.0002405985,0.0001632841,0.000326304,0.0002028065,0.008611889,0.0066002],"genre_scores_gemma":[0.6873446,0.0003675756,0.300326,0.0004187534,0.0001105121,0.0002894647,0.0002276145,0.0002933996,0.01062199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005913042,"threshold_uncertainty_score":0.01978111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03065139375531671,"score_gpt":0.2597294765623553,"score_spread":0.2290780828070386,"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."}}