{"id":"W1582491367","doi":"10.1109/whc.2015.7177724","title":"Parasitic effects of device coupling on haptic performance","year":2015,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Haptic technology; Workspace; Computer science; Coupling (piping); Inertia; Pantograph; Simulation; Representation (politics); Virtual reality; Teleoperation; Mechanism (biology); Motion (physics); Crowds; Human–computer interaction; Robot; Artificial intelligence; Engineering","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":[0.0006944666,0.0005957854,0.0004234756,0.0004898109,0.0003584223,0.0007545951,0.0004562802,0.0006501132,0.003102127],"category_scores_gemma":[0.007984051,0.0003599052,0.0003558643,0.0002304957,0.0006693345,0.000871587,0.00112601,0.0003717026,0.0003350076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002421495,"about_ca_system_score_gemma":0.0002294192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004916441,"about_ca_topic_score_gemma":0.0003128224,"domain_scores_codex":[0.999188,0.0001917891,0.00005785536,0.0001063717,0.0002926446,0.0001632926],"domain_scores_gemma":[0.9944386,0.004311664,0.000288857,0.0004347523,0.000336461,0.0001895679],"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":[0.002988956,0.0003682038,0.006661581,0.0008590061,0.0001497967,0.001535083,0.001328459,0.1281152,0.7899899,0.002815512,0.0005501105,0.06463809],"study_design_scores_gemma":[0.0002125501,0.006827989,0.08098608,0.0001530885,0.0003445663,0.002823546,0.0007234968,0.5214627,0.3796163,0.003327345,0.00323412,0.0002882523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661279,0.000214988,0.02994789,0.0000766505,0.00003567493,0.00004011737,0.00007394486,0.00026755,0.00321529],"genre_scores_gemma":[0.9985276,0.0000422637,0.001139193,0.00001056158,0.000003497292,0.000009001243,0.0000188644,0.00002252556,0.0002263455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003102127,"threshold_uncertainty_score":0.01037765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06613415769007663,"score_gpt":0.3112106132997538,"score_spread":0.2450764556096772,"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."}}