{"id":"W1964043916","doi":"10.1016/j.cogbrainres.2005.04.016","title":"Age-related reorganization of encoding networks directly influences subsequent recognition memory","year":2005,"lang":"en","type":"article","venue":"Cognitive Brain Research","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Psychology; Recognition memory; Encoding (memory); Functional magnetic resonance imaging; Premotor cortex; Neuroscience; Parietal lobe; Temporal lobe; Frontal lobe; Cognition; Medicine; Dorsum; Anatomy","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":[0.0002793856,0.0002056855,0.0002852646,0.0001852354,0.0001269385,0.0005460748,0.0002191197,0.0002579963,0.002228766],"category_scores_gemma":[0.001468409,0.0001711019,0.0001141285,0.00009220748,0.000276101,0.0008374745,0.0002491567,0.0004162649,0.0003448987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002734814,"about_ca_system_score_gemma":0.0002237515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000638907,"about_ca_topic_score_gemma":0.001288051,"domain_scores_codex":[0.999878,0.00001254141,0.000008553432,0.00004972218,0.00002629246,0.0000247448],"domain_scores_gemma":[0.9992519,0.0001971358,0.0002355721,0.0001048099,0.00009227829,0.0001182046],"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":[0.0008452038,0.00007797834,0.0118831,0.00004104317,0.00003969192,0.0001732198,0.0001130768,0.0002577575,0.9687012,0.0005001847,0.0002554332,0.01711204],"study_design_scores_gemma":[0.00005939008,0.001116688,0.5782497,0.00002310067,0.0001189269,0.001134895,0.0002582941,0.002790361,0.4103022,0.003474645,0.002439364,0.00003246146],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995842,0.0003321696,0.002123564,0.00007621678,0.00006397814,0.000006386917,0.0001365488,0.00003757316,0.001381592],"genre_scores_gemma":[0.9974113,0.0001906969,0.0006686905,0.00003189687,0.00002346211,0.000007860471,0.0001656437,0.00002137643,0.001479082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002228766,"threshold_uncertainty_score":0.007455945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1141112429008062,"score_gpt":0.3832635213790717,"score_spread":0.2691522784782655,"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."}}