{"id":"W2108167108","doi":"10.1109/tim.2008.919869","title":"AdHapticA: Adaptive Haptic Application Framework","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Haptic technology; Computer science; Simulation","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":[0.001594708,0.001260833,0.0008904287,0.001049434,0.0004750315,0.001797976,0.003603242,0.001699361,0.006590134],"category_scores_gemma":[0.001957105,0.0007495047,0.001622065,0.0004721075,0.0009557428,0.0018136,0.003847996,0.002081014,0.002022865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000593112,"about_ca_system_score_gemma":0.001116807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002422944,"about_ca_topic_score_gemma":0.002086544,"domain_scores_codex":[0.9989629,0.000208522,0.0001155868,0.0001672756,0.0004255829,0.0001201236],"domain_scores_gemma":[0.9995965,0.0001474217,0.00003563875,0.00007058915,0.00008424432,0.0000656011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001201681,0.0005019144,0.00236712,0.002647298,0.0003282883,0.002267571,0.001473271,0.1408747,0.07361228,0.2398791,0.04862719,0.4862196],"study_design_scores_gemma":[0.0002135158,0.0003325575,0.000909352,0.0002335113,0.0001087806,0.00134689,0.0001305272,0.7448063,0.01525117,0.0524736,0.18399,0.0002038371],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002375767,0.0004150164,0.9715689,0.000119761,0.0000619749,0.000424329,0.0002878474,0.02142805,0.003318327],"genre_scores_gemma":[0.1697582,0.001199135,0.8125526,0.0004354217,0.0001069287,0.002202181,0.001959524,0.002393347,0.009392555],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006590134,"threshold_uncertainty_score":0.02204615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0410651187588739,"score_gpt":0.2259761289107742,"score_spread":0.1849110101519003,"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."}}