{"id":"W2417041598","doi":"10.1037/xge0000128","title":"The representational consequences of intentional forgetting: Impairments to both the probability and fidelity of long-term memory.","year":2015,"lang":"en","type":"article","venue":"Journal of Experimental Psychology General","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Clare College, University of Cambridge; Medical Research Council; Natural Sciences and Engineering Research Council of Canada; University of Cambridge","keywords":"Forgetting; Task (project management); Fidelity; Cognitive psychology; Encoding (memory); Memory errors; Term (time); Psychology; Short-term memory; Computer science; Long-term memory; Representation (politics); TRACE (psycholinguistics); Visual short-term memory; Motivated forgetting; Working memory; Artificial intelligence; Cognition; Recall; Linguistics","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":[0.001242938,0.00009744807,0.0001884596,0.00004478823,0.0001453362,0.00002743023,0.0004232205,0.00003598405,0.00004198689],"category_scores_gemma":[0.0005930989,0.00005270539,0.00008503698,0.0001219046,0.001056387,0.0002032573,0.00009699058,0.0001386758,9.735014e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002543622,"about_ca_system_score_gemma":0.000117114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001110466,"about_ca_topic_score_gemma":0.000002846724,"domain_scores_codex":[0.9982343,0.0003021811,0.0006832568,0.0001992071,0.0004282515,0.0001528481],"domain_scores_gemma":[0.9986864,0.0001866985,0.0006140345,0.0001922865,0.0002109939,0.0001095657],"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":[0.0006410426,0.0002447413,0.03959193,0.000008681086,0.00002327247,0.0000089068,0.0009870566,0.00006424446,0.9553785,0.0008646668,0.001620089,0.000566835],"study_design_scores_gemma":[0.001062842,0.001255899,0.1047714,0.00002644447,0.00001180177,0.0007595642,0.001020236,0.00002880902,0.8846517,0.006224737,0.00009997028,0.0000866421],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959625,0.0007510055,0.00007228403,0.001851882,0.0005840343,0.0002055425,0.000007045122,0.000002500315,0.000563188],"genre_scores_gemma":[0.9981102,0.00003285921,0.0007891104,0.0008761258,0.00009827125,0.000008855676,4.300592e-7,0.000004043242,0.00008006245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07072686,"threshold_uncertainty_score":0.3892303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1191034899551233,"score_gpt":0.4239027570641494,"score_spread":0.3047992671090261,"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."}}