{"id":"W1990826817","doi":"10.3389/fnsys.2011.00090","title":"Functional embedding predicts the variability of neural activity","year":2011,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Santa Fe Institute; James S. McDonnell Foundation","keywords":"Betweenness centrality; Centrality; Embedding; Node (physics); Computer science; Degree (music); Functional connectivity; Proxy (statistics); Entropy (arrow of time); Topology (electrical circuits); Theoretical computer science; Artificial intelligence; Mathematics; Neuroscience; Machine learning; Psychology; Statistics; Combinatorics; 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":[0.0009747011,0.0003007646,0.0003596245,0.001229432,0.000157273,0.0007035462,0.0001923815,0.0004356657,0.0008266955],"category_scores_gemma":[0.0109194,0.0002580468,0.0003274987,0.000688804,0.0005278821,0.001320793,0.0004255575,0.0004865341,0.000185693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003276886,"about_ca_system_score_gemma":0.0001094559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001335599,"about_ca_topic_score_gemma":0.001583279,"domain_scores_codex":[0.999744,0.00007188849,0.00001997871,0.00008960995,0.00004103942,0.00003348508],"domain_scores_gemma":[0.9929403,0.004894314,0.001144944,0.0005251566,0.0002774521,0.0002178075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007079582,0.0001748896,0.5353801,0.0001994588,0.0006226118,0.0004427576,0.000684124,0.3131312,0.0610394,0.01080375,0.001298421,0.07551541],"study_design_scores_gemma":[0.00001075337,0.00009518713,0.324471,0.00001316928,0.00004406282,0.000371269,0.00007179788,0.6535352,0.00236544,0.0187069,0.0002795207,0.00003575432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636834,0.0001749095,0.03494593,0.0001074902,0.000008385854,0.000007604856,0.0002279439,0.00009154186,0.0007527703],"genre_scores_gemma":[0.9986036,0.0000371345,0.001160764,0.00000397702,0.000006723537,0.000003071131,0.0001081626,0.000009067902,0.00006758828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001335599,"threshold_uncertainty_score":0.005154788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05293007125669064,"score_gpt":0.2434049508719773,"score_spread":0.1904748796152866,"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."}}