{"id":"W2133575739","doi":"10.5539/mas.v1n4p79","title":"Data Collection System of EEG Based on USB Interface","year":2007,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"USB; Computer science; Interface (matter); Computer hardware; Electroencephalography; Software; Bit (key); Sampling (signal processing); Embedded system; 12-bit; SIGNAL (programming language); Operating system; Electrical engineering; Computer vision; Engineering","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":[0.0005083794,0.0008246723,0.0008274958,0.001764197,0.0004573039,0.0006459813,0.0008119889,0.0004518722,0.008369987],"category_scores_gemma":[0.001408649,0.0002944497,0.0002393092,0.001209901,0.000225858,0.0007619471,0.0005959677,0.0003923493,0.00260642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002879254,"about_ca_system_score_gemma":0.0005691802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001035646,"about_ca_topic_score_gemma":0.0007099589,"domain_scores_codex":[0.9992365,0.0001484651,0.00007373669,0.0001918051,0.0003065175,0.0000430801],"domain_scores_gemma":[0.9994222,0.00008767503,0.00003664751,0.00006347323,0.0003449596,0.00004504207],"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":[0.001382262,0.0002155652,0.006937467,0.001212017,0.0001127598,0.0005272205,0.0005670693,0.001999568,0.2712365,0.003762398,0.02468107,0.6873661],"study_design_scores_gemma":[0.001368903,0.003772507,0.06090429,0.0006170686,0.0009085065,0.007480265,0.000644673,0.1918556,0.4916429,0.008497703,0.2317633,0.000544326],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05988021,0.00142139,0.9065316,0.0004066843,0.0006611832,0.001546954,0.002219078,0.01519324,0.01213969],"genre_scores_gemma":[0.4377677,0.00282495,0.533074,0.0007620461,0.0007918896,0.005582575,0.003454441,0.0007614159,0.01498101],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008369987,"threshold_uncertainty_score":0.02800035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103947713027842,"score_gpt":0.2692459548514954,"score_spread":0.248206477721217,"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."}}