{"id":"W2156803342","doi":"10.1109/robot.2009.5152182","title":"Interference estimated time of arrival on a 6-DOF cable-driven haptic foot platform","year":2009,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Université Laval","keywords":"Workspace; Haptic technology; Classification of discontinuities; Interference (communication); Computer science; Simulation; Range (aeronautics); Interface (matter); Task (project management); Acceleration; Engineering; Robot; Artificial intelligence; Telecommunications; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00004320609,0.0001113373,0.0001813506,0.00007689981,0.00001798979,0.00002272219,0.0001058529,0.00005233571,0.0006934344],"category_scores_gemma":[0.00001640906,0.00009422216,0.00003362314,0.00008543194,0.00001198006,0.00007390892,0.000006284411,0.00006937412,0.0004040157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003506813,"about_ca_system_score_gemma":0.00001070454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002103458,"about_ca_topic_score_gemma":0.00001125653,"domain_scores_codex":[0.9994198,0.000004723327,0.0002314035,0.00009668156,0.0001065004,0.0001409019],"domain_scores_gemma":[0.9996983,0.00002689171,0.00002046905,0.0001666524,0.00003044246,0.00005726857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001174846,0.0002443077,0.0006579948,0.0001736446,0.0002084275,0.00002740673,0.003466699,0.5282956,0.3926837,0.02897453,0.0155709,0.02957936],"study_design_scores_gemma":[0.0003409688,0.0002561168,0.001515277,0.0001136991,0.000007523602,0.00001063576,0.00004845941,0.9865351,0.01075657,0.00005889,0.0002131261,0.0001436023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7821754,0.00004516836,0.03071627,0.0001129018,0.0003084494,0.0003354567,0.000009467001,0.0009073979,0.1853895],"genre_scores_gemma":[0.9975397,0.000002613349,0.001322267,0.00005378079,0.00002783089,0.000003269419,0.000005290445,0.00001079037,0.001034429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4582396,"threshold_uncertainty_score":0.759262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02556413509379487,"score_gpt":0.2360013715846882,"score_spread":0.2104372364908933,"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."}}