{"id":"W1482917937","doi":"10.1007/bfb0119417","title":"ACME, a telerobotic active measurement facility","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in control and information sciences","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Artificial intelligence; Computer vision; Computer science; Telerobotics; Robot; Virtual reality; Object (grammar); Robotic arm; Teleoperation; Robotics; Computer graphics (images); 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":[0.0009550223,0.0007107279,0.0007441158,0.001838926,0.001682155,0.001892331,0.002068808,0.001412071,0.03864083],"category_scores_gemma":[0.001206687,0.0005144153,0.000256728,0.001639079,0.0005704954,0.003161472,0.001779427,0.001759346,0.008233313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006358278,"about_ca_system_score_gemma":0.00124527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001916184,"about_ca_topic_score_gemma":0.003101109,"domain_scores_codex":[0.9988135,0.000108151,0.00002730458,0.0001931855,0.0007478023,0.0001102095],"domain_scores_gemma":[0.998962,0.0001580021,0.00005146292,0.000294847,0.0003397732,0.0001939098],"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":[0.0009068749,0.0003400867,0.001722183,0.0004562875,0.00003221951,0.0002650185,0.0004365825,0.00212338,0.178407,0.0583385,0.2358187,0.5211532],"study_design_scores_gemma":[0.000123753,0.0003967455,0.002575605,0.00004170974,0.00003063408,0.0009808083,0.00009816555,0.01615046,0.08249316,0.004612138,0.8923964,0.0001005112],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03490438,0.003351562,0.6821871,0.00334172,0.002119335,0.0005567517,0.005892013,0.03732865,0.2303185],"genre_scores_gemma":[0.2928846,0.001199699,0.3519374,0.00109148,0.0007565348,0.0004675991,0.006590056,0.001945069,0.3431276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03864083,"threshold_uncertainty_score":0.1292664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02581399861950576,"score_gpt":0.2085607344374444,"score_spread":0.1827467358179387,"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."}}