{"id":"W4412774196","doi":"10.1016/j.tins.2025.06.003","title":"Integrating and interpreting brain maps","year":2025,"lang":"en","type":"review","venue":"Trends in Neurosciences","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Fondation Brain Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Michael J. Fox Foundation for Parkinson's Research","keywords":"Psychology; Neuroscience; Cognitive science; Cognitive psychology","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":[0.004706974,0.001518769,0.001463018,0.006997159,0.0005315629,0.005293204,0.002225555,0.002400438,0.003670128],"category_scores_gemma":[0.00879519,0.0004453472,0.0006580527,0.003951646,0.00448978,0.006981453,0.002526859,0.002397672,0.002251031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001859372,"about_ca_system_score_gemma":0.003039848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00327487,"about_ca_topic_score_gemma":0.004032478,"domain_scores_codex":[0.998621,0.0005901372,0.0001288786,0.0002768621,0.0003354779,0.00004762148],"domain_scores_gemma":[0.9973319,0.001767078,0.0001621095,0.0001812956,0.0004944583,0.00006310521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003192244,0.00001660584,0.0006322051,0.01414327,0.0002155197,0.0003213073,0.001163067,0.001454288,0.001903805,0.1438674,0.02675855,0.8094921],"study_design_scores_gemma":[0.000009246544,0.00003369907,0.002310806,0.008497347,0.000144494,0.001385389,0.0008899968,0.0007554177,0.001425269,0.1987356,0.7857391,0.00007367957],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008983092,0.950748,0.02969725,0.006220465,0.001017199,0.00005192219,0.0003598524,0.0001897207,0.0108174],"genre_scores_gemma":[0.01113731,0.9592037,0.02406783,0.001672545,0.001297639,0.0001087201,0.0003992649,0.00009569128,0.002017293],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006997159,"threshold_uncertainty_score":0.02489316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0853305049304519,"score_gpt":0.3842657523630685,"score_spread":0.2989352474326166,"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."}}