{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000382655,0.00007592806,0.00008553604,0.0001040722,0.0001148337,0.00001718451,0.0004709928,0.00002450965,0.000002951],"category_scores_gemma":[0.000006688147,0.00007360729,0.000008978097,0.0006018605,0.0001064681,0.00008906161,0.00005597333,0.00007633977,0.00001376575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001147285,"about_ca_system_score_gemma":0.00002756514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005039532,"about_ca_topic_score_gemma":0.000007006012,"domain_scores_codex":[0.9991691,0.000001396036,0.0001523324,0.0002485631,0.0002396941,0.0001889638],"domain_scores_gemma":[0.9993094,0.00003640597,0.00003158163,0.0005368525,0.00002841291,0.00005731779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009166824,0.00002682291,0.000009731967,0.00003734352,0.000002030807,3.359842e-7,0.0001001654,0.2942213,0.6786755,0.004113411,0.00009021511,0.02271391],"study_design_scores_gemma":[0.00009655188,0.000007686709,0.0002988815,0.00001404251,0.000002129026,6.276023e-7,0.00005567467,0.9112072,0.0877527,0.0001052661,0.0003888696,0.00007035829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01122792,0.00001206364,0.9727362,0.000007630912,0.00008563011,0.0001649836,0.00002021267,0.0001616456,0.01558368],"genre_scores_gemma":[0.9766014,9.44548e-7,0.02332077,0.000009921355,0.00001508788,0.00001171592,0.000004589789,0.00001033727,0.00002518194],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9653735,"threshold_uncertainty_score":0.3001618,"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."}}