{"id":"W2788611061","doi":"10.1016/j.bbr.2018.02.019","title":"The structural and functional brain networks that support human social networks","year":2018,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; Canadian Institutes of Health Research; Directorate for Biological Sciences; European Research Council; British Academy; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Wellcome Trust; McGill University","keywords":"Default mode network; Neuroscience; Resting state fMRI; Psychology; White matter; Uncinate fasciculus; Cingulum (brain); Prefrontal cortex; Functional connectivity; Cognitive psychology; Cognition; Fractional anisotropy; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002886731,0.000280871,0.0002367395,0.0001578068,0.008383749,0.0005522296,0.000502404,0.0001947911,0.00036807],"category_scores_gemma":[0.004475862,0.0002083528,0.0001190967,0.0006688017,0.003700169,0.0003290804,0.0008647396,0.00121193,0.00004848582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001657903,"about_ca_system_score_gemma":0.00009344264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001395095,"about_ca_topic_score_gemma":0.0006957705,"domain_scores_codex":[0.9950297,0.001127996,0.0002912323,0.0008950514,0.001390373,0.001265593],"domain_scores_gemma":[0.9859244,0.01309275,0.00009396971,0.000379931,0.0003183082,0.000190641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004580689,0.00006399645,0.07259191,0.000008729953,0.00003981949,0.00006353412,0.0006572419,0.0000421699,0.01548297,0.03449408,0.862846,0.01325154],"study_design_scores_gemma":[0.001230343,0.0009061431,0.9534099,0.00001535871,0.00001519883,0.0001717373,0.0006610753,0.004766488,0.002396972,0.004126387,0.0317543,0.0005460597],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9237926,0.000111699,0.0002416139,0.07175771,0.001165909,0.000688223,0.00002410696,0.0001577932,0.00206034],"genre_scores_gemma":[0.9866759,0.00001057621,0.00001055557,0.003627037,0.001862392,0.0001010827,0.00001676826,0.00004490786,0.007650782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.880818,"threshold_uncertainty_score":0.9990112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2222724643938296,"score_gpt":0.4003293909815642,"score_spread":0.1780569265877345,"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."}}