{"id":"W2529873460","doi":"10.1016/j.cortex.2016.09.011","title":"Medial temporal lobe reinstatement of content-specific details predicts source memory","year":2016,"lang":"en","type":"article","venue":"Cortex","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of Mental Health; National Institute on Aging; National Science Foundation","keywords":"Psychology; Temporal lobe; Neuroscience; Perirhinal cortex; Recall; Hippocampal formation; Hippocampus; Episodic memory; Functional magnetic resonance imaging; Cognitive psychology; Cognition","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":[0.0006006374,0.0003491709,0.0004085388,0.0002687054,0.0001581152,0.001173826,0.0008123167,0.0006263046,0.004132649],"category_scores_gemma":[0.003430051,0.0003453813,0.0002751671,0.0002620219,0.0007288206,0.001729507,0.0009187033,0.001315394,0.0007306614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004666472,"about_ca_system_score_gemma":0.0005636213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001933989,"about_ca_topic_score_gemma":0.002610067,"domain_scores_codex":[0.9998129,0.00001513014,0.0000126835,0.00004748451,0.00007452217,0.00003738821],"domain_scores_gemma":[0.9983677,0.0003514964,0.0005650675,0.0004552573,0.00009409919,0.0001663499],"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":[0.002751041,0.0005640901,0.02690965,0.0002032476,0.0002205201,0.0003793958,0.0004616452,0.001829386,0.92073,0.003362676,0.001253659,0.04133469],"study_design_scores_gemma":[0.0002848319,0.001410781,0.7003159,0.00006093566,0.0003037522,0.001275105,0.000429803,0.02587673,0.2464187,0.02127117,0.002279396,0.00007296633],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928318,0.0001434756,0.003534304,0.0002197706,0.00006085727,0.00002105617,0.0003153281,0.00009193328,0.00278145],"genre_scores_gemma":[0.9961128,0.0001639772,0.0009723536,0.00007990155,0.00001953618,0.00001892356,0.000382622,0.00007182357,0.002177915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004132649,"threshold_uncertainty_score":0.01382512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1340781523212442,"score_gpt":0.2879057189661263,"score_spread":0.1538275666448821,"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."}}