{"id":"W4408712678","doi":"10.14326/abe.14.89","title":"Investigation of the Cross-frequency Coupling Characteristics during Attentive Listening in a Two-speaker Paradigm","year":2025,"lang":"en","type":"article","venue":"Advanced Biomedical Engineering","topic":"Communication in Education and Healthcare","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada; Precise Measurement Technology Promotion Foundation","keywords":"Active listening; Speech recognition; Coupling (piping); Computer science; Psychology; Communication; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001956313,0.0001022896,0.0001648404,0.0001780806,0.00007963093,0.00001158848,0.0002736723,0.0000688666,0.00005703557],"category_scores_gemma":[0.0002400243,0.00009236774,0.00004591602,0.0007103294,0.0001320525,0.00006804746,0.00007759421,0.0003517199,0.000004945351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001327657,"about_ca_system_score_gemma":0.00007546043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006925507,"about_ca_topic_score_gemma":0.00001427677,"domain_scores_codex":[0.9989461,0.00002862954,0.0005020415,0.0001823228,0.0001281855,0.0002127703],"domain_scores_gemma":[0.9991621,0.0001749491,0.0001311231,0.0004092302,0.00005903337,0.00006358758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005410664,0.0001305299,0.8273934,0.000639589,0.00008902609,0.000005554484,0.01051209,0.002946653,0.08291446,0.07040057,0.00002429967,0.004889687],"study_design_scores_gemma":[0.0007164249,0.000007298658,0.9937143,0.000495054,0.000006283242,0.000002978912,0.0003062921,0.003132235,0.0005626563,0.0003219887,0.0006383632,0.00009609773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944606,0.0003195351,0.001713783,0.00156289,0.001369189,0.0001986923,0.000007337527,0.00005120336,0.000316713],"genre_scores_gemma":[0.9983562,0.00002266587,0.001146558,0.0001213555,0.00005395935,0.00007070472,0.00001763507,0.00001172751,0.0001991543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1663209,"threshold_uncertainty_score":0.3766647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621473148992235,"score_gpt":0.3569917473285368,"score_spread":0.3407770158386145,"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."}}