{"id":"W4401644390","doi":"10.1038/s41467-024-51395-6","title":"Mapping the structure-function relationship along macroscale gradients in the human brain","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal; Montreal Police Service","funders":"Center for Information Technology; Swebilius Foundation; National Center for Advancing Translational Sciences; National Institute of Neurological Disorders and Stroke; U.S. Department of Health and Human Services","keywords":"Coactivation; Brain Structure and Function; Neuroscience; Function (biology); Human brain; Sensory system; Cognition; White matter; Brain mapping; Perception; Structure function; Biology; Physics; Evolutionary biology; Magnetic resonance imaging; Medicine","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":[0.0004882065,0.000250552,0.0002600818,0.00277577,0.0002509924,0.0009440446,0.000213732,0.0002492494,0.001155194],"category_scores_gemma":[0.003137285,0.0001844587,0.0002879142,0.002313042,0.0006605123,0.001279453,0.0006992036,0.0002624111,0.0003811805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002808191,"about_ca_system_score_gemma":0.0002837957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002972457,"about_ca_topic_score_gemma":0.006378739,"domain_scores_codex":[0.9997345,0.00005794235,0.00001729371,0.0001221574,0.00004806219,0.00002008943],"domain_scores_gemma":[0.9989288,0.000473052,0.0002919524,0.0001822114,0.00009099244,0.00003289138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003811108,0.00009098773,0.4286692,0.001091739,0.001027591,0.001008301,0.002505617,0.04958531,0.1543123,0.0227799,0.006868009,0.33168],"study_design_scores_gemma":[0.000009731129,0.00006214061,0.8750413,0.0000745432,0.0001440008,0.001111235,0.0005124257,0.05672271,0.01075323,0.04839338,0.007116813,0.00005849089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9303899,0.002134967,0.05802567,0.0003402539,0.00001470404,0.00002072214,0.004326215,0.0006945338,0.004053004],"genre_scores_gemma":[0.9816201,0.0006084327,0.0156086,0.00005185972,0.00001367588,0.0000198383,0.001644979,0.0001081714,0.0003243307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002972457,"threshold_uncertainty_score":0.005910277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07781562106199703,"score_gpt":0.3319501033979285,"score_spread":0.2541344823359314,"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."}}