{"id":"W4385374906","doi":"10.1101/2023.07.28.551047","title":"Intrinsic neural timescales attenuate information transfer along the uni-transmodal hierarchy","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; European Commission","keywords":"Hierarchy; Transfer (computing); Information transfer; Computer science; Sensory system; Associative property; Neuroscience; Psychology; Mathematics; Political science; Pure mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003442864,0.0003013857,0.0002660242,0.0002293711,0.0001955477,0.0006641235,0.0003793524,0.0003678933,0.00214297],"category_scores_gemma":[0.002476924,0.000241558,0.0002248123,0.0001229675,0.0005448976,0.001328857,0.0009405454,0.000825523,0.0001740655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005191873,"about_ca_system_score_gemma":0.0002961411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006113362,"about_ca_topic_score_gemma":0.0003446264,"domain_scores_codex":[0.9998949,0.00001993036,0.000008272789,0.00002531691,0.00002459185,0.0000271026],"domain_scores_gemma":[0.999337,0.0002734007,0.0001328632,0.0001050729,0.00004664665,0.0001049133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006090954,0.0001627755,0.003261662,0.0002008666,0.00007764086,0.0002593806,0.0002439152,0.06032513,0.8942335,0.01739447,0.0004958454,0.0227357],"study_design_scores_gemma":[0.0001234656,0.0007129167,0.04363035,0.00004649481,0.0001094631,0.0003352171,0.0002259452,0.7551461,0.1340725,0.06380063,0.001736339,0.00006064136],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608213,0.0002597346,0.03572084,0.0002332197,0.00003476374,0.00001685002,0.00006031296,0.0001831097,0.002669779],"genre_scores_gemma":[0.9983113,0.00005485767,0.00128007,0.00002178291,0.00000406652,0.000006142324,0.00001126265,0.00001140024,0.00029916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00214297,"threshold_uncertainty_score":0.007168949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349453541551674,"score_gpt":0.2178562004425408,"score_spread":0.1943616650270241,"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."}}