{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008971081,0.0003204162,0.0001591694,0.000418281,0.0003237617,0.002116726,0.0004038096,0.0005000586,0.007319323],"category_scores_gemma":[0.007625741,0.0001241531,0.0002680805,0.0003086592,0.001322533,0.001861934,0.0008535701,0.0006976271,0.0008869767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003996708,"about_ca_system_score_gemma":0.0004528463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001130542,"about_ca_topic_score_gemma":0.00137321,"domain_scores_codex":[0.9996263,0.00008132143,0.00002364301,0.000106626,0.0001131463,0.00004907952],"domain_scores_gemma":[0.9981828,0.0007487169,0.0003870555,0.0003679909,0.0001642783,0.0001489624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007153262,0.000409225,0.0462451,0.0008207022,0.0004382362,0.001732524,0.004797914,0.003877035,0.05860958,0.3649409,0.0137095,0.5037038],"study_design_scores_gemma":[0.0002126703,0.0006929143,0.1849088,0.0004992881,0.0004026193,0.001821568,0.002287112,0.01333831,0.02977135,0.6765494,0.08939134,0.0001245026],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5400535,0.01234485,0.1039502,0.008413848,0.0009654263,0.0001214254,0.000774928,0.0009166381,0.3324592],"genre_scores_gemma":[0.9848971,0.001821597,0.005680304,0.0004967967,0.0001299761,0.00002597714,0.0001718977,0.00004374719,0.006732536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007319323,"threshold_uncertainty_score":0.02448559,"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."}}