{"id":"W4400140783","doi":"10.1089/brain.2024.0047","title":"Advances in Understanding Brain Connectivity","year":2024,"lang":"en","type":"editorial","venue":"Brain Connectivity","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Functional connectivity; Neuroscience; Connectome; Neuroimaging; Computer science; Psychology; Cognitive science","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":[0.009491969,0.003714394,0.004243972,0.004164891,0.002707606,0.007743122,0.003970974,0.01603095,0.01648125],"category_scores_gemma":[0.0372678,0.001296398,0.002498551,0.001513116,0.003326062,0.006275526,0.002938245,0.02967549,0.01659715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002883188,"about_ca_system_score_gemma":0.003590198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002897886,"about_ca_topic_score_gemma":0.007824669,"domain_scores_codex":[0.9955657,0.000867745,0.000600345,0.0006483815,0.00208861,0.0002292338],"domain_scores_gemma":[0.9668586,0.01651567,0.001046052,0.0006769244,0.01150766,0.003395093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002775013,0.000004504134,0.00001558843,0.0001850721,0.00001332765,0.0000546732,0.00000776552,0.00001763877,0.00003169265,0.0003733808,0.9920936,0.007174891],"study_design_scores_gemma":[0.00005151295,0.00002334486,0.0001594176,0.0005843992,0.00005450584,0.0003066254,0.00003601376,0.0001694545,0.00008911478,0.002844138,0.995656,0.00002549371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001482175,0.008772403,0.0002472232,0.03802814,0.9518278,0.00001403266,0.00004443395,0.00004715845,0.001003955],"genre_scores_gemma":[0.0002277256,0.008995328,0.0001734694,0.02282609,0.9607925,0.00002843679,0.00003488019,0.00003588158,0.006885753],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01648125,"threshold_uncertainty_score":0.05513525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04674258446778563,"score_gpt":0.3148433959602245,"score_spread":0.2681008114924389,"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."}}