{"id":"W4412524739","doi":"10.1037/xge0001811","title":"Executive control can query hidden human memories.","year":2025,"lang":"en","type":"article","venue":"Journal of Experimental Psychology General","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Eye Institute; Division of Behavioral and Cognitive Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Psychology; Control (management); Cognitive psychology; Human memory; Cognition; Cognitive science; Neuroscience; Artificial intelligence; Computer science","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":[0.0002507397,0.0001737175,0.0003431574,0.0002001413,0.0002500863,0.00004975585,0.0005017077,0.00009875198,0.0002617912],"category_scores_gemma":[0.0001026987,0.0001406557,0.0001431245,0.0002152578,0.000327061,0.0002281793,0.00004548039,0.000349136,0.00000859697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006522783,"about_ca_system_score_gemma":0.00009328504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001204636,"about_ca_topic_score_gemma":0.000002714062,"domain_scores_codex":[0.9984207,0.0002126553,0.0005634475,0.00029314,0.0002270421,0.0002830247],"domain_scores_gemma":[0.9991839,0.00006609651,0.0003580956,0.0002065258,0.00007783745,0.0001075477],"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":[0.0002118636,0.0002067508,0.0008852466,0.00000385073,0.00002854648,0.00009420457,0.000391211,0.000007476435,0.9783142,0.003830824,0.01570085,0.000324993],"study_design_scores_gemma":[0.002454071,0.0006551489,0.00160546,0.00002706265,0.00001916849,0.0002726163,0.0005380083,0.00001191332,0.9853421,0.002445302,0.006479641,0.0001494737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615746,0.001251879,0.00009506048,0.001554325,0.00216727,0.00012009,0.00000696708,0.0000159566,0.03321383],"genre_scores_gemma":[0.9827781,0.00004530306,0.000226445,0.01455686,0.0003794384,0.000008371869,4.807481e-7,0.00001025201,0.0019947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03121913,"threshold_uncertainty_score":0.5735773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03931621663000456,"score_gpt":0.3888483002855475,"score_spread":0.3495320836555429,"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."}}