{"id":"W4411116334","doi":"10.1007/s11047-025-10020-1","title":"Connectomes inform function: from time-varying dynamics to animal behaviour","year":2025,"lang":"en","type":"article","venue":"Natural Computing","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Connectome; Theory of computation; Computer science; Function (biology); Dynamics (music); Biological system; Neuroscience; Algorithm; Functional connectivity; Biology; Physics","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":[0.0003843577,0.0003945846,0.0002886076,0.00106426,0.0002813326,0.001667811,0.0005043494,0.0008345812,0.002374765],"category_scores_gemma":[0.005746715,0.0003235096,0.0003010164,0.001057114,0.001558532,0.003959027,0.0008277012,0.0007268632,0.0002681904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004807722,"about_ca_system_score_gemma":0.0002194682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001612628,"about_ca_topic_score_gemma":0.001393171,"domain_scores_codex":[0.999853,0.00004595133,0.000005444622,0.00005258839,0.0000306569,0.00001231273],"domain_scores_gemma":[0.9982869,0.001139016,0.0002304234,0.0001398427,0.00009438942,0.0001094573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003468602,0.000121825,0.05269146,0.0006594923,0.0005127107,0.0006845997,0.001694273,0.2365484,0.05921086,0.4146351,0.006365138,0.2265293],"study_design_scores_gemma":[0.00001603852,0.00005050715,0.04745613,0.00006593924,0.00007285212,0.0003555915,0.0003533715,0.2161198,0.00392176,0.7274793,0.004046547,0.00006226495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5252243,0.005181812,0.4486549,0.005148506,0.0002658568,0.000029013,0.001159445,0.0007718198,0.01356443],"genre_scores_gemma":[0.9858024,0.00119586,0.01119055,0.0001642744,0.00009256066,0.0000158503,0.0001666588,0.000106512,0.00126547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002374765,"threshold_uncertainty_score":0.007944405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235053524293868,"score_gpt":0.2627605480436669,"score_spread":0.2504100128007283,"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."}}