{"id":"W2912934805","doi":"10.3390/s19030601","title":"Quality Assessment of Single-Channel EEG for Wearable Devices","year":2019,"lang":"en","type":"article","venue":"Sensors","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Theratechnologies (Canada)","funders":"","keywords":"Electroencephalography; Wearable computer; Computer science; Channel (broadcasting); Noise (video); Quality (philosophy); Block (permutation group theory); Pattern recognition (psychology); Artificial intelligence; Embedded system; Telecommunications; Mathematics; Medicine","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":[0.0002599899,0.0000997796,0.0002026667,0.00004758377,0.0000447366,0.00003416626,0.0001993931,0.00004302655,0.00004069304],"category_scores_gemma":[0.0001015221,0.00008393566,0.00008307592,0.00009632928,0.00004482307,0.00009030012,0.00004857928,0.00006443026,0.00003200061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001981576,"about_ca_system_score_gemma":0.00002246766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002767778,"about_ca_topic_score_gemma":0.000009200607,"domain_scores_codex":[0.9989459,0.00009993422,0.0002381023,0.0003024231,0.0002009762,0.0002126662],"domain_scores_gemma":[0.9990463,0.0004866217,0.0001433608,0.00023671,0.00004775028,0.0000392103],"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":[0.00002732806,0.0001510816,0.002105585,0.0001831184,0.00000891452,0.000001068717,0.0003935566,0.00282768,0.990842,0.00224437,0.000251786,0.0009634394],"study_design_scores_gemma":[0.0006294605,0.0004342325,0.008169163,0.00009948706,0.000007253515,0.000005279444,0.0004238216,0.02391943,0.9587677,0.001138193,0.006165608,0.0002403883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891069,0.00001686184,0.0004862635,0.0002968267,0.0005034197,0.0002857443,0.00002448308,0.00004634307,0.009233178],"genre_scores_gemma":[0.9960114,0.00000278334,0.001186894,0.0003327685,0.00003157415,0.000004426045,8.527245e-7,0.00001130722,0.002417951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03207439,"threshold_uncertainty_score":0.3422797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08341303173223322,"score_gpt":0.3451334679876862,"score_spread":0.2617204362554529,"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."}}