{"id":"W2113688319","doi":"10.1109/acv.2002.1182185","title":"An augmented-reality interface for telerobotic applications","year":2003,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Augmented reality; Human–computer interaction; Computer science; Interface (matter); Haptic technology; Virtual reality; Task (project management); Context (archaeology); Mixed reality; Replica; User interface; Operator (biology); Computer-mediated reality; Task analysis; Representation (politics); Telerobotics; Immersion (mathematics); Robot; Simulation; Artificial intelligence; Engineering; Mobile robot; Systems 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":[0.0004003535,0.0006704716,0.0003451625,0.000330018,0.0002914398,0.001069889,0.0009285604,0.001290244,0.009397263],"category_scores_gemma":[0.001003894,0.0002679487,0.0004217206,0.0002024577,0.0002635811,0.001189939,0.0007462491,0.0005750722,0.002490306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001313969,"about_ca_system_score_gemma":0.0001776633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002745222,"about_ca_topic_score_gemma":0.0004131798,"domain_scores_codex":[0.9995019,0.0001259738,0.00003803084,0.00006794774,0.0002348855,0.00003124879],"domain_scores_gemma":[0.9997035,0.0001228294,0.00002528755,0.00004817644,0.00007301426,0.00002720778],"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":[0.0006926407,0.0002469511,0.0008042695,0.001044542,0.0001067678,0.001433663,0.001089246,0.008516693,0.2009008,0.0351905,0.0275408,0.7224331],"study_design_scores_gemma":[0.0002122004,0.001804331,0.004544389,0.0002714848,0.0003675411,0.008382881,0.0003328402,0.182466,0.1225749,0.01104811,0.6677247,0.0002707923],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01338035,0.00214385,0.9669051,0.0003663051,0.0004219617,0.0001239337,0.0001546342,0.004820559,0.01168329],"genre_scores_gemma":[0.2698357,0.002422157,0.6990735,0.0005856639,0.0003906972,0.0003611619,0.0006112654,0.000308792,0.02641111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009397263,"threshold_uncertainty_score":0.03143698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506864868793232,"score_gpt":0.2848233767327077,"score_spread":0.2597547280447754,"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."}}