{"id":"W4406810936","doi":"10.18280/isi.300113","title":"EEG Signals Classification Using Novel Acquisition Protocol for Lie Detection System","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Electroencephalography; Protocol (science); Pattern recognition (psychology); Speech recognition; Detection theory; Artificial intelligence; Neuroscience; Psychology; Medicine; Detector; Telecommunications","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":[0.000315406,0.0005838044,0.0004188835,0.0005484162,0.000223619,0.0004322578,0.000372332,0.0004641522,0.003641965],"category_scores_gemma":[0.0007626372,0.0001397582,0.0001965163,0.000459999,0.0001378486,0.0004183434,0.0002783362,0.0003815708,0.001153994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001178257,"about_ca_system_score_gemma":0.0003823778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006598337,"about_ca_topic_score_gemma":0.001145754,"domain_scores_codex":[0.9997533,0.00003234907,0.00002326588,0.0000874697,0.00007810642,0.00002553664],"domain_scores_gemma":[0.9997647,0.00003362347,0.0000201765,0.00002402748,0.000143904,0.00001361642],"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":[0.0009471995,0.000350914,0.005810468,0.0003394276,0.00007411424,0.000242734,0.0001375393,0.001987301,0.330793,0.0009038353,0.005795001,0.6526186],"study_design_scores_gemma":[0.0003707723,0.002650532,0.1340835,0.000134898,0.0004667005,0.004525615,0.0002970805,0.285205,0.5447202,0.002748804,0.02458738,0.0002094592],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1400127,0.0005278244,0.8499351,0.0002293258,0.0002569527,0.001163406,0.0009466318,0.003487261,0.003440825],"genre_scores_gemma":[0.5454933,0.001043257,0.4409793,0.0003137038,0.0002381376,0.002488496,0.001959064,0.0002150553,0.007269626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003641965,"threshold_uncertainty_score":0.01218361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05534184271821851,"score_gpt":0.3139022113540607,"score_spread":0.2585603686358421,"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."}}