{"id":"W2606819446","doi":"10.3758/s13423-017-1287-7","title":"Learning from one’s own errors and those of others","year":2017,"lang":"en","type":"article","venue":"Psychonomic Bulletin & Review","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; James S. McDonnell Foundation","keywords":"Psychology; Malleability; Recall; TRACE (psycholinguistics); Cognitive psychology; Social psychology; Commission; Cued recall; Free recall; Computer science; Linguistics; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001012202,0.0002694568,0.0003351296,0.0005370015,0.0002353217,0.001471296,0.0005239208,0.0006265249,0.001479048],"category_scores_gemma":[0.006517332,0.0001389324,0.0002602378,0.0003324416,0.001585655,0.001799373,0.0005846259,0.001290814,0.0002859887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004372796,"about_ca_system_score_gemma":0.000977389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001840561,"about_ca_topic_score_gemma":0.00263438,"domain_scores_codex":[0.9995419,0.00008402885,0.00004222376,0.0001151294,0.0001699952,0.00004682672],"domain_scores_gemma":[0.9968585,0.001244787,0.0006951123,0.0003887294,0.0005809554,0.0002319005],"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":[0.00034148,0.0001564654,0.03483292,0.001281436,0.0004590626,0.0007767648,0.001792801,0.0008996723,0.01105304,0.01978987,0.008110324,0.9205062],"study_design_scores_gemma":[0.0001124754,0.0007938941,0.5518401,0.002314838,0.001064737,0.005581543,0.003629776,0.002105495,0.03703701,0.1923929,0.2029247,0.0002025174],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5949974,0.2827944,0.01861005,0.02639227,0.005070729,0.00005500527,0.0003430795,0.0002048945,0.07153207],"genre_scores_gemma":[0.8672713,0.1202436,0.002873862,0.001399283,0.002171327,0.00001480164,0.0001583844,0.00004912139,0.005818253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001840561,"threshold_uncertainty_score":0.005353093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09463409392238067,"score_gpt":0.3360253204024911,"score_spread":0.2413912264801104,"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."}}