{"id":"W4205995114","doi":"10.18280/ts.380612","title":"GameEmo-CapsNet: Emotion Recognition from Single-Channel EEG Signals Using the 1D Capsule Networks","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emotion recognition; Computer science; Emotion classification; Electroencephalography; Speech recognition; Gesture; Class (philosophy); Pattern recognition (psychology); Artificial intelligence; Binary number; Binary classification; Facial expression; Support vector machine; Psychology; Mathematics; Neuroscience","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000314,0.0002667282,0.0002389795,0.00006509628,0.0003626856,0.000341244,0.000306655,0.0001025691,0.00135127],"category_scores_gemma":[0.00007234948,0.0002150724,0.0001570532,0.0003294802,0.0001128464,0.0003175928,0.0001151172,0.000275476,0.00004940834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007818946,"about_ca_system_score_gemma":0.00004546308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000574232,"about_ca_topic_score_gemma":0.00001774742,"domain_scores_codex":[0.9975031,0.0004846976,0.0004583043,0.0006386415,0.0004668399,0.0004484093],"domain_scores_gemma":[0.9990016,0.0003186529,0.0002081782,0.0002533272,0.0001129553,0.000105333],"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":[0.00003358002,0.0002618643,0.00002225004,0.00001037512,0.00002990931,0.00005937429,0.0009387831,0.01896115,0.9621965,0.00001942912,0.0011368,0.01632999],"study_design_scores_gemma":[0.0006552264,0.0001489278,0.0002599664,0.0001855311,0.00006075453,0.00005318782,0.0003948609,0.326708,0.6691193,0.001501767,0.0005969425,0.0003155478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8522641,0.0002371212,0.1450227,0.0007015732,0.0007909812,0.0002778474,0.00007749183,0.0001063739,0.0005217803],"genre_scores_gemma":[0.9954591,0.00002615555,0.0007807707,0.002742923,0.0007760334,0.00001397386,0.00006571944,0.00003214518,0.0001032237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3077469,"threshold_uncertainty_score":0.9995616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08427578562437264,"score_gpt":0.2640943693414755,"score_spread":0.1798185837171028,"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."}}