{"id":"W2554419776","doi":"10.1016/j.jneumeth.2016.11.013","title":"Transitioning EEG experiments away from the laboratory using a Raspberry Pi 2","year":2016,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electroencephalography; Raspberry pi; Computer science; Software portability; Stimulus (psychology); Oddball paradigm; Power consumption; Event-related potential; Audiology; Speech recognition; Simulation; Psychology; Embedded system; Power (physics); Neuroscience; Medicine; Operating system; Cognitive psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004412468,0.0007385538,0.0004402689,0.0003840396,0.0006412847,0.0006020507,0.0006858381,0.0006075777,0.006428739],"category_scores_gemma":[0.001647492,0.0002909947,0.0003907104,0.0003500746,0.0007687089,0.0006516824,0.001043794,0.001616844,0.0009764992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001772273,"about_ca_system_score_gemma":0.0005555366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009235325,"about_ca_topic_score_gemma":0.001351463,"domain_scores_codex":[0.9995027,0.00007840936,0.00004829767,0.0001432244,0.0001136655,0.0001137542],"domain_scores_gemma":[0.9993277,0.000200099,0.00003267901,0.0001646997,0.0001548979,0.0001200399],"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":[0.001487592,0.0007898119,0.0006698129,0.0001175254,0.00002338544,0.0001088776,0.0003196337,0.0003514324,0.9786992,0.0002482146,0.0005661502,0.01661847],"study_design_scores_gemma":[0.0007729558,0.01430032,0.03214283,0.000068351,0.0001836947,0.0006110928,0.0006614317,0.01045323,0.9279431,0.002158165,0.01057938,0.0001254147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9268621,0.0002135479,0.06449849,0.000316481,0.0006797717,0.001293299,0.0008762791,0.001180504,0.00407964],"genre_scores_gemma":[0.9464241,0.0002997826,0.0465153,0.0005295827,0.0001325219,0.001292363,0.0006553708,0.0004360871,0.003714903],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006428739,"threshold_uncertainty_score":0.02150631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1271923718055872,"score_gpt":0.4179446602921594,"score_spread":0.2907522884865722,"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."}}