{"id":"W4220826944","doi":"10.18280/jesa.550115","title":"Shared Control of a Robot Arm Using BCI and Computer Vision","year":2022,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brain–computer interface; GRASP; Teleoperation; Computer science; Interface (matter); Robot; Computer vision; Artificial intelligence; Robotic arm; Python (programming language); Robot control; Simulation; Human–computer interaction; Mobile robot","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002494177,0.0005283084,0.000411171,0.0003469432,0.0004011315,0.0005581604,0.000809352,0.0004235883,0.001439597],"category_scores_gemma":[0.0008148798,0.000144661,0.000334578,0.0002512558,0.0004284949,0.0005559961,0.0008266317,0.0004007157,0.0002956694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003742622,"about_ca_system_score_gemma":0.0006748349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002779666,"about_ca_topic_score_gemma":0.002981012,"domain_scores_codex":[0.9996858,0.00003243217,0.00001965942,0.00009974524,0.0001210145,0.00004143058],"domain_scores_gemma":[0.9996902,0.00006401152,0.00005980738,0.00006993431,0.0000815696,0.00003462023],"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":[0.0006035404,0.0004328052,0.001974646,0.0002925008,0.000164944,0.0006254046,0.0004272478,0.1297862,0.3374754,0.005574509,0.001749287,0.5208934],"study_design_scores_gemma":[0.0001038961,0.001024286,0.004440164,0.00003762341,0.0001172942,0.0006919499,0.00007234514,0.8955519,0.08628932,0.005303634,0.006314968,0.00005259358],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09419252,0.0003131258,0.8974493,0.0001167453,0.0000742911,0.0001372807,0.00003151118,0.001714093,0.005971112],"genre_scores_gemma":[0.937052,0.00009610745,0.06056802,0.000049211,0.00001794528,0.00009781802,0.00003265591,0.00003215879,0.002054173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002779666,"threshold_uncertainty_score":0.00552696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03167315615079067,"score_gpt":0.2816364278801503,"score_spread":0.2499632717293596,"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."}}