{"id":"W2073616800","doi":"10.1037/a0020276","title":"Effects of aging and divided attention on memory for items and their contexts.","year":2010,"lang":"en","type":"article","venue":"Psychology and Aging","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; York University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Context (archaeology); Cognitive psychology; Developmental psychology; Cognition; Content-addressable memory; Cognitive aging; Associative property; Working memory; Neuroscience","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":[],"consensus_categories":[],"category_scores_codex":[0.0001951641,0.00007906684,0.0001206209,0.00005062633,0.0001404366,0.00002217399,0.00005398907,0.00004464375,0.000002634732],"category_scores_gemma":[0.0001613883,0.00005833806,0.00001484672,0.00003991652,0.0002060075,0.0001124333,0.00002192611,0.0001111791,5.005337e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":5.134551e-7,"about_ca_system_score_gemma":0.000002345255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002674098,"about_ca_topic_score_gemma":0.000002157987,"domain_scores_codex":[0.9994391,0.00003294073,0.0001012071,0.0002732956,0.00003181279,0.0001216428],"domain_scores_gemma":[0.9993253,0.0004832074,0.00006756333,0.00007609675,0.00001212755,0.00003570337],"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":[0.00001899158,0.00001848569,0.003414508,0.0001514612,0.000002758916,0.000001167988,0.0003472733,1.087812e-7,0.934582,0.000711821,0.00002308117,0.06072835],"study_design_scores_gemma":[0.002107411,0.000349994,0.1726068,0.0001986096,0.00002039177,0.00007541055,0.0001375001,0.0002911428,0.8118856,0.01002,0.002081693,0.0002254027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975714,0.0006513825,0.0001949466,0.0006377102,0.0003251562,0.0001653276,0.000002145289,0.00001534539,0.0004365603],"genre_scores_gemma":[0.9980739,0.0002314733,0.00004358142,0.001524895,0.00004618111,0.00001337282,2.966788e-7,0.000005105008,0.0000611512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1691923,"threshold_uncertainty_score":0.2378957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02520437434574001,"score_gpt":0.3222396815135761,"score_spread":0.2970353071678361,"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."}}