{"id":"W2784585211","doi":"10.1145/3149827.3149840","title":"Passive Haptic Deformation Using Force Bounding","year":2017,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Haptic technology; Bounding overwatch; Computer science; Stiffness; Controller (irrigation); Virtual machine; Virtual reality; Simulation; Control theory (sociology); Control (management); Engineering; Human–computer interaction; Artificial intelligence; Structural 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":[0.0003388912,0.0006659835,0.0005665862,0.0002470102,0.0003606318,0.0008086975,0.001064661,0.0006977464,0.00243326],"category_scores_gemma":[0.00106336,0.0003253952,0.0004501457,0.0001504015,0.0008993144,0.001631668,0.001787245,0.0006244548,0.0004474651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003994914,"about_ca_system_score_gemma":0.0002931243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009184736,"about_ca_topic_score_gemma":0.0004001603,"domain_scores_codex":[0.9995555,0.00007380528,0.00002441847,0.00008280308,0.0002328491,0.00003062312],"domain_scores_gemma":[0.999561,0.0001899737,0.00005414167,0.0001338393,0.00002972576,0.00003140768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003065653,0.0001232518,0.0004968776,0.0001679838,0.00003094316,0.0003802854,0.0003079761,0.554794,0.2347407,0.07831126,0.001101139,0.1292391],"study_design_scores_gemma":[0.0000225298,0.0001063213,0.0001594378,0.00001410191,0.000009019929,0.0001758696,0.00001263017,0.9653621,0.0250684,0.005592658,0.003453283,0.0000236717],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01916439,0.0001872399,0.9744014,0.0000683566,0.00004215756,0.00002571718,0.00001045455,0.0007639871,0.005336347],"genre_scores_gemma":[0.8919232,0.0003099357,0.1013835,0.00006560441,0.00004664587,0.00006091431,0.00002925085,0.0001517167,0.006029071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00243326,"threshold_uncertainty_score":0.008140087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02849005045254995,"score_gpt":0.255439399138423,"score_spread":0.226949348685873,"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."}}