{"id":"W4409282240","doi":"10.1002/hbm.70167","title":"Identification of Cortical Targets for Modulating Function Supported by the Human Hippocampal Network","year":2025,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Foundation for Innovation","keywords":"Neuroscience; Hippocampal formation; Transcranial magnetic stimulation; Human Connectome Project; Functional magnetic resonance imaging; Connectome; Resting state fMRI; Prefrontal cortex; Psychology; Functional connectivity; Neuroplasticity; Posterior parietal cortex; Human brain; Stimulation; Cognition","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":[0.0001424425,0.0001762067,0.0001293168,0.0001900863,0.0001390434,0.0001826618,0.0001549017,0.0001338351,0.001072649],"category_scores_gemma":[0.0008611997,0.00007730547,0.00007679994,0.0001354965,0.0001834846,0.0001605141,0.0001827598,0.0001209646,0.0001630743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001405627,"about_ca_system_score_gemma":0.0002446953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001671103,"about_ca_topic_score_gemma":0.005872903,"domain_scores_codex":[0.999945,0.00001067389,0.000002352255,0.00002261953,0.00001227979,0.000006974833],"domain_scores_gemma":[0.9998739,0.0000381412,0.00003871856,0.0000222768,0.00001544958,0.00001151031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003943849,0.00006962263,0.02755226,0.0001099758,0.00008762241,0.0002797272,0.0003785111,0.005689896,0.8856573,0.001150012,0.0007915928,0.07783924],"study_design_scores_gemma":[0.00007911334,0.0004910735,0.6766821,0.00002295839,0.000130352,0.001159739,0.0002832276,0.02440025,0.2913213,0.002843389,0.002552387,0.00003423816],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760765,0.0001784418,0.02223054,0.00004379653,0.000005781355,0.00003130427,0.000199884,0.0001338055,0.001099822],"genre_scores_gemma":[0.9927971,0.00005329172,0.006755894,0.00001081769,0.000002400909,0.00001932531,0.00009815449,0.0000122362,0.0002508562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001671103,"threshold_uncertainty_score":0.003588378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04538839768744837,"score_gpt":0.299906276121959,"score_spread":0.2545178784345107,"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."}}