{"id":"W4411448581","doi":"10.31234/osf.io/923rj_v2","title":"Putting the testing effect to the test in the wild: Retrieval enhances real-world memories and promotes their semantic integration while preserving episodic integrity","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Toronto; James S. McDonnell Foundation","keywords":"Recall; Episodic memory; Semantic memory; Computer science; Event (particle physics); Information retrieval; Narrative; Test (biology); Cognitive psychology; Autobiographical memory; Psychology; Cognition; Neuroscience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005491487,0.0005093345,0.000490257,0.0001938596,0.001077762,0.001407084,0.002297928,0.0001531765,0.00002264058],"category_scores_gemma":[0.03857001,0.0002011453,0.00009126213,0.001825783,0.0003614016,0.0003715093,0.001742244,0.002001254,0.000006546981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005547978,"about_ca_system_score_gemma":0.0002391226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002167788,"about_ca_topic_score_gemma":0.007028497,"domain_scores_codex":[0.9958664,0.001294346,0.0006999843,0.00106811,0.0005827895,0.0004883787],"domain_scores_gemma":[0.9762131,0.02208719,0.0004210511,0.001051745,0.0001735037,0.00005338937],"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":[0.0004486136,0.0006679874,0.2878726,0.01110621,0.0001227282,0.00006166531,0.1029079,0.002953095,0.2094477,0.007769134,0.003641485,0.3730008],"study_design_scores_gemma":[0.0004119747,0.0008893139,0.06497251,0.009201103,0.0001854991,0.00005638703,0.007877069,0.07151838,0.7996022,0.04289189,0.001281801,0.001111883],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959049,0.0003156253,0.000336621,0.01494879,0.0006124278,0.003469992,0.00002600485,0.0001790169,0.02106252],"genre_scores_gemma":[0.9964162,0.0002112913,0.0005345137,0.001457202,0.0002807542,0.0002747023,0.000003218717,0.0000169254,0.0008052675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5901545,"threshold_uncertainty_score":0.9996296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06201092324297632,"score_gpt":0.3217954886785015,"score_spread":0.2597845654355252,"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."}}