{"id":"W4410022517","doi":"10.1088/2632-072x/add3a9","title":"Unraveling high-order interactions in electrophysiological brain signals using elliptical distributions: moving beyond the Gaussian approximation","year":2025,"lang":"en","type":"article","venue":"Journal of Physics Complexity","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Laboratory for Brain, Music and Sound Research","funders":"","keywords":"Gaussian; Electrophysiology; Statistical physics; Physics; Mathematics; Neuroscience; Psychology; Quantum mechanics","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":[0.001735158,0.0005291878,0.0005064344,0.0009471176,0.0002888814,0.001031033,0.0007688586,0.0006629403,0.0009531752],"category_scores_gemma":[0.005327817,0.0003417657,0.000550465,0.0005330276,0.001332331,0.002585676,0.001272716,0.0008921653,0.0002400207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000511741,"about_ca_system_score_gemma":0.0005743078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001987988,"about_ca_topic_score_gemma":0.001298623,"domain_scores_codex":[0.9996297,0.0001365769,0.00002153718,0.00005809895,0.0001067135,0.00004718872],"domain_scores_gemma":[0.9975415,0.001561542,0.0002995318,0.0003104247,0.0001556362,0.0001312562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002597652,0.0001088994,0.007174575,0.0001855571,0.0001493588,0.0005173952,0.0005931357,0.6345535,0.05107649,0.2329786,0.001317746,0.07108509],"study_design_scores_gemma":[0.000003224826,0.00001777256,0.00101309,0.000007232763,0.000005360415,0.00006867649,0.00002226628,0.9765052,0.001560637,0.02044808,0.0003365788,0.00001188427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05487862,0.0001516837,0.9438074,0.0001108809,0.00001088165,0.00001422592,0.00002965796,0.0001787017,0.0008179558],"genre_scores_gemma":[0.8683378,0.0003305248,0.1298438,0.0001036763,0.00003871664,0.00004225838,0.00005833118,0.0001025619,0.001142413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001987988,"threshold_uncertainty_score":0.009176552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06860675833622731,"score_gpt":0.3241489605951142,"score_spread":0.2555422022588869,"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."}}