{"id":"W2893489511","doi":"10.1073/pnas.1803667115","title":"Anatomical and microstructural determinants of hippocampal subfield functional connectome embedding","year":2018,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":303,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Fonds de Recherche du Québec - Santé; Faculty of Medicine, McGill University; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Centre Azrieli de recherche sur l'autisme, Institut et Hôpital Neurologiques de Montréal; National Institute of Mental Health; Hospital for Sick Children; McDonnell Center for Systems Neuroscience; University of Minnesota; McGill University; National Institutes of Health; Government of Canada; University of Oxford","keywords":"Hippocampal formation; Neuroscience; Human Connectome Project; Hippocampus; Functional connectivity; Connectome; Resting state fMRI; Psychology; Biology; Anatomy","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":[],"category_scores_codex":[0.0007197698,0.0001066294,0.0001995282,0.0001723857,0.0003388073,0.00001989826,0.0004183892,0.0000708745,0.00002422993],"category_scores_gemma":[0.007778388,0.00007374767,0.00006352353,0.000609444,0.003355263,0.0004331933,0.0002670906,0.0001340442,0.000001063329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002319065,"about_ca_system_score_gemma":0.00003412817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004967134,"about_ca_topic_score_gemma":2.83244e-7,"domain_scores_codex":[0.998226,0.00001229477,0.000321307,0.0003523581,0.0009207967,0.0001672051],"domain_scores_gemma":[0.9976245,0.001643859,0.0003976013,0.00000925757,0.0002922133,0.00003257762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005998947,0.00001834445,0.04593668,0.00003986544,0.000005816296,7.52725e-9,0.0001632823,0.000005344588,0.9327885,0.02020716,0.0004978261,0.0002771949],"study_design_scores_gemma":[0.0001803064,0.00009219517,0.1759742,0.00004398418,0.000006211334,0.00003864807,0.0001234605,0.001534263,0.7922417,0.02965129,0.00004446352,0.00006930381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967694,0.00003275123,8.624166e-7,0.001848062,0.0000847715,0.0001135139,0.0000228832,0.000009824536,0.001117917],"genre_scores_gemma":[0.9987676,0.000007102175,0.0003638497,0.0006868517,0.0001221177,0.000003719359,2.357601e-8,0.000003677498,0.00004509598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1405468,"threshold_uncertainty_score":0.999357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06532213872361724,"score_gpt":0.3285496298665974,"score_spread":0.2632274911429801,"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."}}