{"id":"W2046042924","doi":"10.1016/j.nicl.2014.05.008","title":"Linking DMN connectivity to episodic memory capacity: What can we learn from patients with medial temporal lobe damage?","year":2014,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University Health Network; University of Toronto","funders":"Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft; James S. McDonnell Foundation","keywords":"Temporal lobe; Episodic memory; Neuroscience; Functional connectivity; Psychology; Default mode network; Cognitive psychology; Cognition; Epilepsy","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001197492,0.0004810369,0.0008227617,0.0001583177,0.0005233105,0.0003440246,0.0006307936,0.0002084043,0.00007914074],"category_scores_gemma":[0.04946816,0.0004243086,0.0002236645,0.0004774399,0.0008599985,0.0008467235,0.000607083,0.001305667,0.0003120429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008490018,"about_ca_system_score_gemma":0.0001227089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001809782,"about_ca_topic_score_gemma":0.001209339,"domain_scores_codex":[0.993548,0.001905313,0.0007372739,0.002031644,0.001093097,0.0006847225],"domain_scores_gemma":[0.9706442,0.02729165,0.0003320221,0.001036362,0.0002141866,0.0004815401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001978911,0.001909029,0.9037023,0.00006103106,0.00006801942,0.0002082996,0.001372191,0.0002128288,0.01204677,0.0002569647,0.006837833,0.07134579],"study_design_scores_gemma":[0.007004254,0.005098848,0.9371842,0.000328377,0.0001322386,0.00001321863,0.0002089132,0.001309136,0.01017593,0.00338041,0.03370662,0.001457868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780281,0.00001069527,0.0006006411,0.01594735,0.003862203,0.0006499281,0.00009515514,0.0002867988,0.000519178],"genre_scores_gemma":[0.9731441,0.00003104065,0.0005087947,0.02479606,0.001241084,0.00003850585,0.0000153567,0.00008695389,0.0001381251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06988793,"threshold_uncertainty_score":0.9998209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07588323343036249,"score_gpt":0.3054051404211772,"score_spread":0.2295219069908147,"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."}}