{"id":"W4406290055","doi":"10.1101/2025.01.10.632350","title":"How Intrinsic Neural Timescales Relate To Event-Related Activity – Key Role For Intracolumnar Connections","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Mental Health Research Canada; General Dynamics (Canada)","funders":"","keywords":"Key (lock); Event (particle physics); Event-related potential; Psychology; Cognitive psychology; Neuroscience; Computer science; Cognitive science; Physics; Electroencephalography; Computer security","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":[0.0003018219,0.0003310854,0.000276951,0.00016612,0.0001624586,0.0008377782,0.0005145589,0.000411893,0.001353391],"category_scores_gemma":[0.001843073,0.00022861,0.0003127643,0.0001498528,0.0005768789,0.001124035,0.0004824968,0.0005190255,0.0001655879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003096729,"about_ca_system_score_gemma":0.0002681577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001333621,"about_ca_topic_score_gemma":0.001039167,"domain_scores_codex":[0.9999027,0.00002520035,0.000006086731,0.00003294845,0.00001451207,0.00001853575],"domain_scores_gemma":[0.9996415,0.0001454051,0.00007837793,0.00006208938,0.00002709341,0.00004553383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003319873,0.0001846075,0.01970381,0.0002720608,0.0002453942,0.0005796792,0.0003927629,0.4547938,0.4085932,0.06839772,0.001757809,0.04474721],"study_design_scores_gemma":[0.00001481815,0.0000623591,0.02710447,0.00001827583,0.00003379523,0.0001701886,0.00005403275,0.9214821,0.01411213,0.03595455,0.0009611627,0.00003213649],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7027499,0.0007486531,0.289839,0.0005762386,0.00006290877,0.00001991348,0.0002839272,0.0004212749,0.005298195],"genre_scores_gemma":[0.9952774,0.0001428075,0.004030761,0.00001855358,0.00000892664,0.000008607884,0.00003849113,0.00003336223,0.0004411458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001353391,"threshold_uncertainty_score":0.004527509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459847217818332,"score_gpt":0.2292663652022673,"score_spread":0.2146678930240839,"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."}}