{"id":"W1975571422","doi":"10.1109/icar.2013.6766524","title":"Overcoming occlusions in semi-autonomous telepresence systems","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Telerobotics; Computer science; Operator (biology); Computer vision; Teleoperation; Kinematics; Human–computer interaction; Conversation; Inverse kinematics; Robot; Artificial intelligence; Visualization; Simulation; Mobile robot","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":[0.0004164107,0.0003987582,0.000453814,0.0002579002,0.000642605,0.0006379997,0.0006472141,0.0006666239,0.00160083],"category_scores_gemma":[0.001579255,0.0003168895,0.0002368964,0.0002051761,0.0006259839,0.0008318484,0.001027887,0.0005401127,0.0003692206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003446866,"about_ca_system_score_gemma":0.0004873646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002172063,"about_ca_topic_score_gemma":0.001582559,"domain_scores_codex":[0.9996448,0.00007299265,0.00001646149,0.00005382802,0.0001736377,0.0000383763],"domain_scores_gemma":[0.9994618,0.0002250209,0.0001044447,0.0001014676,0.00007067442,0.0000365932],"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":[0.0004391316,0.0001416618,0.00154842,0.0002063232,0.00004387751,0.0006783861,0.001854456,0.4907773,0.1878825,0.01213182,0.0013489,0.3029473],"study_design_scores_gemma":[0.0000204162,0.0002273587,0.001110213,0.00001430216,0.00001301995,0.000239705,0.0001364624,0.9670489,0.0232345,0.002990108,0.004939355,0.00002556381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07310447,0.0001191883,0.9245964,0.00005735509,0.00002448801,0.00003856577,0.00001211398,0.0005725129,0.001474919],"genre_scores_gemma":[0.8242093,0.0001414187,0.1718043,0.00004514459,0.00003276302,0.00008118272,0.00005143254,0.00009616023,0.003538356],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002172063,"threshold_uncertainty_score":0.005355299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217437382976026,"score_gpt":0.2579189031513965,"score_spread":0.2457445293216362,"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."}}