{"id":"W3083962177","doi":"10.1016/j.neuroimage.2020.117346","title":"Cross-species functional alignment reveals evolutionary hierarchy within the connectome","year":2020,"lang":"en","type":"article","venue":"NeuroImage","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":276,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Institute of Mental Health; Austrian Science Fund; Biotechnology and Biological Sciences Research Council; National Institute on Aging; Oesterreichische Nationalbank; Centre National de la Recherche Scientifique; National Science Foundation; Royal Society; Wellcome Trust; Engineering Research Centers; Microsoft Research; National Institute of Biomedical Imaging and Bioengineering; European Research Council; National Institutes of Health","keywords":"Default mode network; Connectome; Neuroscience; Evolutionary biology; Posterior cingulate; Biology; Angular gyrus; Human Connectome Project; Brain morphometry; Cognition; Hierarchy; Functional specialization; Hippocampal formation; Functional connectivity","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0002679124,0.0002549209,0.0002210125,0.00005537896,0.000895213,0.0001654151,0.0004201269,0.00004714868,0.0006537263],"category_scores_gemma":[0.01281716,0.0001918912,0.0001459456,0.0005295181,0.0007222881,0.0003790127,0.0004032851,0.0004174296,0.0006702611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007915957,"about_ca_system_score_gemma":0.00007626857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004316982,"about_ca_topic_score_gemma":0.000001687292,"domain_scores_codex":[0.9972289,0.0003539483,0.0003369679,0.0008744093,0.0008536736,0.0003520946],"domain_scores_gemma":[0.9943346,0.004894393,0.0001443689,0.0003928126,0.00009431603,0.0001395306],"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":[0.0003364697,0.0001179535,0.009999669,0.00003570694,0.00002522327,0.0001331496,0.000641925,0.001620204,0.7668772,0.04173369,0.1783922,0.00008655122],"study_design_scores_gemma":[0.001590241,0.0006728875,0.5803417,0.00001980392,0.0000341875,0.0002377292,0.0002211327,0.002992265,0.08601141,0.00663877,0.3205225,0.000717377],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7670523,0.0001829823,0.0008461366,0.203896,0.002349807,0.0008741706,0.0002724438,0.0006149284,0.02391125],"genre_scores_gemma":[0.9223098,0.00001599071,0.00007410206,0.07320004,0.0006317494,0.00006963388,0.000005073531,0.00003267849,0.003660892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6808658,"threshold_uncertainty_score":0.9954983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08737997255832325,"score_gpt":0.2791130988237874,"score_spread":0.1917331262654642,"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."}}