{"id":"W1968299098","doi":"10.1088/0967-3334/31/11/001","title":"On the use of peripheral autonomic signals for binary control of body–machine interfaces","year":2010,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; University of Toronto","funders":"","keywords":"Speech recognition; Hidden Markov model; Ambient noise level; Computer science; Noise (video); Heart rate; Robustness (evolution); Artificial intelligence; Acoustics; Medicine; Chemistry; Blood pressure","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":[0.0004328691,0.0001581784,0.000301165,0.00002769249,0.0000757445,0.00002372936,0.0004208614,0.00005211943,0.0001269978],"category_scores_gemma":[0.0008897336,0.00008047401,0.0001449585,0.00005343797,0.0002459181,0.0000703207,0.0000664946,0.0001962462,0.000004524781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001866367,"about_ca_system_score_gemma":0.00002054374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009768576,"about_ca_topic_score_gemma":0.000001964866,"domain_scores_codex":[0.9986715,0.0002166427,0.0003299822,0.0003037498,0.0002757529,0.0002023483],"domain_scores_gemma":[0.9984344,0.0009489862,0.0002034923,0.0002714469,0.0001005316,0.00004112225],"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":[0.0003401125,0.0003344865,0.00002675335,0.00001491015,0.00001808233,2.688691e-7,0.00005302916,0.002469624,0.9926199,0.00269319,0.0008063996,0.0006232928],"study_design_scores_gemma":[0.0005114577,0.001585345,0.002173851,0.00003823153,0.00001093092,7.480562e-7,0.000006644204,0.02552716,0.9677243,0.001751571,0.0005662044,0.0001035045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964256,0.00002409442,0.001704803,0.0008401471,0.0003033406,0.0005754716,0.0000530799,0.00002864115,0.00004478084],"genre_scores_gemma":[0.9988437,0.000003011936,0.0001973777,0.0008195397,0.00004939107,0.00005859289,6.45484e-7,0.000007920885,0.0000198075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0248955,"threshold_uncertainty_score":0.3281635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1570805863078337,"score_gpt":0.2961997043905638,"score_spread":0.1391191180827301,"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."}}