{"id":"W2554204513","doi":"10.1115/1.4035171","title":"A Haptic Bilateral System for the Remote Human–Human Handshake","year":2016,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Handshake; Haptic technology; Computer science; Interface (matter); Transparency (behavior); Human–computer interaction; Software; Human interface device; Teleoperation; Simulation; Robot; Artificial intelligence; Asynchronous communication; Telecommunications; Operating system; Computer security","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":[0.0006166071,0.0004268271,0.0003497799,0.0002931072,0.0004130623,0.0003942273,0.0008159943,0.0007915749,0.009206851],"category_scores_gemma":[0.0009046433,0.0001751904,0.0002373217,0.0002077582,0.0002991514,0.0006994752,0.001087609,0.0005449846,0.001311631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001732152,"about_ca_system_score_gemma":0.0004254281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003617859,"about_ca_topic_score_gemma":0.0003633583,"domain_scores_codex":[0.9994425,0.0001102663,0.00002318216,0.00007933309,0.0002977658,0.00004693969],"domain_scores_gemma":[0.999712,0.00008398802,0.00003040482,0.00006067631,0.0000764361,0.00003647722],"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":[0.0005752987,0.0002027549,0.0006804217,0.0003794486,0.00003767646,0.0004732287,0.0003576825,0.009259366,0.5906456,0.01429866,0.002735028,0.3803548],"study_design_scores_gemma":[0.0005645836,0.004331169,0.009314557,0.0001797986,0.0001978218,0.007026181,0.0002256972,0.4691674,0.3297155,0.01204048,0.1669337,0.0003031792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02146971,0.0002854518,0.9723253,0.00009598412,0.0001180642,0.0001077128,0.00003526495,0.001556963,0.004005545],"genre_scores_gemma":[0.6177639,0.0002451808,0.3716997,0.000173007,0.0001364527,0.0002980794,0.00008057182,0.0001141089,0.009488929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009206851,"threshold_uncertainty_score":0.03080004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288120675938136,"score_gpt":0.2240255944487495,"score_spread":0.2011443876893681,"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."}}