{"id":"W2017245516","doi":"10.1162/pres.17.4.327","title":"Experimental Identification and Analysis of the Dynamics of a PHANToM Premium 1.5A Haptic Device","year":2008,"lang":"en","type":"article","venue":"PRESENCE Virtual and Augmented Reality","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Haptic technology; Gimbal; Simulation; Teleoperation; Inverse dynamics; Imaging phantom; Control theory (sociology); Torque; Computer science; Inertial frame of reference; Inertia; Fictitious force; Compensation (psychology); Overshoot (microwave communication); Robot; Kinematics; Engineering; Mechanics; Aerospace engineering; Physics; Classical mechanics; Artificial intelligence; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000127511,0.00007262108,0.0001710511,0.00006190591,0.00006187036,0.00001049076,0.00008043489,0.00003432701,0.00001159994],"category_scores_gemma":[0.00002421859,0.00005395286,0.00004055746,0.0002831537,0.0001358763,0.00008952482,0.00003784669,0.00004186276,2.95322e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001946507,"about_ca_system_score_gemma":0.000007753236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002768975,"about_ca_topic_score_gemma":0.00009647011,"domain_scores_codex":[0.9993281,0.00004629439,0.0002786534,0.0001179905,0.0001567424,0.00007222973],"domain_scores_gemma":[0.999639,0.00004238661,0.00006873514,0.0001749891,0.00003987443,0.00003506146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005400573,0.0002663464,0.08115813,0.0002644147,0.001203288,0.00000172148,0.01170821,0.011369,0.8836679,0.006444734,0.0001850858,0.003677124],"study_design_scores_gemma":[0.0002028123,0.00002209446,0.1314027,0.00002701985,0.0001220413,0.000005048939,0.001182166,0.8128693,0.05406024,0.000008959603,0.00002104872,0.00007659182],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992714,0.000301329,0.006391772,0.00004328239,0.00007872347,0.0001428994,0.00005947855,0.00002539453,0.0002431074],"genre_scores_gemma":[0.9997204,0.00008047299,0.00001830338,0.000005215354,0.000007552758,0.000009484739,0.00001597863,0.000004048235,0.0001385203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8296077,"threshold_uncertainty_score":0.2200134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02350798413416237,"score_gpt":0.2554622614653163,"score_spread":0.2319542773311539,"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."}}