{"id":"W1508397741","doi":"10.1109/icra.2015.7139816","title":"VIBI: Assistive vision-based interface for robot manipulation","year":2015,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Joystick; Human–computer interaction; Interface (matter); Task (project management); Computer science; Robot; Robotic arm; Object (grammar); Wheelchair; User interface; Robot control; Artificial intelligence; Computer vision; Simulation; Mobile robot; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002520708,0.00009770442,0.0001133684,0.00009958571,0.00005986061,0.00007541595,0.0004360209,0.0000711276,0.000005743642],"category_scores_gemma":[0.0001439708,0.00008163208,0.00004354873,0.0001844527,0.00003628847,0.0001750375,0.000082939,0.00006962994,0.00006709831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006888329,"about_ca_system_score_gemma":0.00006217696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001953801,"about_ca_topic_score_gemma":0.00001511055,"domain_scores_codex":[0.9992126,0.0000274045,0.0001391697,0.0003086941,0.0001322368,0.0001798649],"domain_scores_gemma":[0.9992136,0.0001380008,0.00006267265,0.0003260157,0.0001916965,0.00006799017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000147794,0.0007304123,0.01055933,0.00004611294,0.00007206589,0.00001698341,0.0004037473,0.02988675,0.008637024,0.4696507,0.05459093,0.4252582],"study_design_scores_gemma":[0.001183069,0.0006366134,0.02841688,0.00002888129,0.000008301589,0.000004423161,0.00005644857,0.9237684,0.02675635,0.01211506,0.006743333,0.0002822224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004459893,0.000019414,0.9892241,0.003246184,0.0002883729,0.0001497417,0.000001194171,0.0005224777,0.002088664],"genre_scores_gemma":[0.7844144,8.104919e-8,0.2149631,0.0001660797,0.00001833518,0.00001764146,0.000002580157,0.00000529035,0.000412458],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8938817,"threshold_uncertainty_score":0.332886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06074980242893989,"score_gpt":0.3279012676656168,"score_spread":0.2671514652366769,"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."}}