{"id":"W2758729391","doi":"10.1037/xge0000359","title":"Erasing and blurring memories: The differential impact of interference on separate aspects of forgetting.","year":2017,"lang":"en","type":"article","venue":"Journal of Experimental Psychology General","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Forgetting; Similarity (geometry); Interference (communication); Psychology; Perception; Contrast (vision); Object (grammar); Interference theory; Erasure; Memory errors; Artificial intelligence; Pattern recognition (psychology); Communication; Computer vision; Cognitive psychology; Computer science; Cognition; Working memory; Recall; Neuroscience; Image (mathematics)","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":[0.002216303,0.0004890679,0.0004305487,0.0007397038,0.0002773291,0.001098023,0.0006856367,0.0007975431,0.001633604],"category_scores_gemma":[0.009572709,0.0004741401,0.0006188281,0.0005018234,0.001822722,0.002735374,0.001157959,0.0007602217,0.0001867268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007401676,"about_ca_system_score_gemma":0.0004461958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001400788,"about_ca_topic_score_gemma":0.001773171,"domain_scores_codex":[0.99919,0.0001100862,0.0001070555,0.0002263492,0.000313869,0.00005255392],"domain_scores_gemma":[0.9929017,0.003461007,0.001989598,0.0009734529,0.0003752675,0.000299031],"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":[0.004263827,0.0005347168,0.09439003,0.001365628,0.000510497,0.0005278801,0.001724222,0.003403221,0.6699587,0.01355723,0.0006450948,0.2091189],"study_design_scores_gemma":[0.0001173431,0.004597692,0.7159807,0.0001427315,0.000622601,0.002903085,0.0004544134,0.03625348,0.2178709,0.0190122,0.001935481,0.0001093523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9373541,0.00443513,0.05394443,0.0003181043,0.00006158713,0.000109025,0.0001243276,0.0001720169,0.00348129],"genre_scores_gemma":[0.9889429,0.0009066929,0.009330959,0.0001405118,0.0000297919,0.00003409055,0.0001104654,0.00002377341,0.0004807355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002216303,"threshold_uncertainty_score":0.01172107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1672426687684153,"score_gpt":0.4827870494650212,"score_spread":0.3155443806966058,"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."}}