{"id":"W3210152198","doi":"10.32920/ryerson.14649834.v1","title":"An examination of Emotion Regulation strategy use on recognition memory","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Winnipeg; Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Surprise; Psychology; Encoding (memory); Task (project management); Cognitive psychology; Test (biology); Emotional memory; Recognition memory; Cognition; Social psychology; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003643147,0.0001946882,0.0002209805,0.0001961428,0.00007587567,0.0002495227,0.0001959435,0.0002600541,0.0008091151],"category_scores_gemma":[0.0005297829,0.0001849944,0.000067622,0.0002136021,0.00006394404,0.001003982,0.00006659963,0.0002608517,0.00001780917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004437213,"about_ca_system_score_gemma":0.0001047963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00010337,"about_ca_topic_score_gemma":0.0000276783,"domain_scores_codex":[0.9978415,0.0004085991,0.0004323093,0.0007173253,0.0004661882,0.0001341232],"domain_scores_gemma":[0.9985667,0.0001425565,0.0004416876,0.0004878979,0.0003050545,0.00005604081],"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":[0.00004962461,0.0003881273,0.00003421527,0.0004898446,0.00000558165,0.000006073664,0.0006321566,0.01938464,0.6316202,0.0006954913,0.0000263854,0.3466676],"study_design_scores_gemma":[0.0001500059,0.0002736447,0.03888448,0.0002874635,0.00002002945,0.000004655793,0.0004836212,0.01817749,0.9385706,0.002902008,0.000006438944,0.0002395254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870684,0.000008710032,0.001922517,0.00002689436,0.0003878882,0.0003509278,0.00002701655,0.00009072755,0.01011696],"genre_scores_gemma":[0.9983838,0.000117913,0.0004466889,0.0001757614,0.00009699103,0.00002064816,0.0002718527,0.00001725078,0.0004690899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3464281,"threshold_uncertainty_score":0.8859243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1495372472232077,"score_gpt":0.3205817967879185,"score_spread":0.1710445495647108,"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."}}