{"id":"W3003334485","doi":"10.1109/globalsip45357.2019.8969186","title":"Study on Novel Designs with Reduced Fatigue for Steady State Motion Visual Evoked Potentials","year":2019,"lang":"en","type":"article","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Flicker; Interfacing; Brain–computer interface; Computer science; Electroencephalography; Luminance; Visual evoked potentials; Brightness; Computer vision; Evoked potential; Artificial intelligence; Visualization; Speech recognition; Computer hardware; Neuroscience; Computer graphics (images); Physics; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004206821,0.0004665711,0.0003305404,0.0004952493,0.000191781,0.0004161639,0.0007316986,0.0005277226,0.002061723],"category_scores_gemma":[0.001305716,0.0001441049,0.0003269712,0.0002393336,0.0001633109,0.0008750936,0.0002344148,0.0002097039,0.0006113207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002622498,"about_ca_system_score_gemma":0.0002542613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003717625,"about_ca_topic_score_gemma":0.0005631652,"domain_scores_codex":[0.9997066,0.00005372022,0.00002482905,0.00007617886,0.0001099145,0.00002881976],"domain_scores_gemma":[0.9991886,0.0001444212,0.0001347683,0.00007033515,0.0004199543,0.00004189766],"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":[0.0004635937,0.0002794803,0.001509599,0.001078572,0.00005429548,0.0002353276,0.0001940532,0.003717062,0.755439,0.002481273,0.001185586,0.2333622],"study_design_scores_gemma":[0.0002247831,0.02013841,0.02187078,0.0002291634,0.0005149206,0.002628591,0.0003176513,0.1392125,0.7609099,0.00249657,0.05134333,0.0001134464],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4775032,0.007205416,0.502807,0.0003887635,0.0003187209,0.0005981058,0.0001980864,0.0008718953,0.01010882],"genre_scores_gemma":[0.8585266,0.001904742,0.1329712,0.0001580925,0.00007784856,0.0003084382,0.0001541681,0.00006355548,0.005835272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002061723,"threshold_uncertainty_score":0.006897151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150800287508725,"score_gpt":0.3478206017042383,"score_spread":0.2327405729533659,"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."}}