{"id":"W2084703098","doi":"10.1145/1979742.1979591","title":"Brain and body interfaces","year":2011,"lang":"en","type":"article","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Human–computer interaction; Computer science; Control (management); Field (mathematics); Cognition; User interface; Psychology; Neuroscience; Artificial intelligence","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":[0.00006862529,0.00007701814,0.00007167096,0.0000389927,0.00004695044,0.00004509802,0.0001749682,0.00002451498,0.0004502963],"category_scores_gemma":[0.00007453068,0.00005578688,0.00001429784,0.00005548466,0.00009444336,0.00015885,0.0001197762,0.00006272055,0.0001142349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002884276,"about_ca_system_score_gemma":0.000004315511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002958814,"about_ca_topic_score_gemma":0.000007273172,"domain_scores_codex":[0.9994215,0.00003831632,0.00009251289,0.0002388806,0.00006717114,0.000141569],"domain_scores_gemma":[0.9996798,0.0001212968,0.00002185979,0.0001189887,0.000006703565,0.0000513646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002671588,0.00008535199,0.001523616,0.0000138702,0.000004670412,0.0000239002,0.003301962,2.768053e-7,0.9416744,0.02490558,0.01543648,0.01300321],"study_design_scores_gemma":[0.0001161636,0.0001241638,0.00148917,0.000008045906,0.000001267824,0.00003490883,0.00008434628,0.0003684497,0.9893122,0.001703991,0.006663815,0.0000935232],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8975179,0.00002187553,0.000832854,0.0006154252,0.0001733802,0.00005598334,0.000001201813,0.0001117975,0.1006696],"genre_scores_gemma":[0.9912887,0.000006036844,0.0006827948,0.002619153,0.00002223894,0.00000205771,6.710673e-8,0.000005978947,0.00537293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09529668,"threshold_uncertainty_score":0.4930428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05043630553910457,"score_gpt":0.2743002000709925,"score_spread":0.223863894531888,"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."}}