{"id":"W4307827408","doi":"10.32920/21440808","title":"Aging, Culture, and Memory for Categorically Processed Information","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Categorization, perception, and language","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Key Research and Development Program of China; Canadian Institutes of Health Research","keywords":"Categorization; Psychology; Ethnic group; Task (project management); Cognition; Test (biology); Working memory; Cognitive psychology; Sociology; Computer science; Artificial intelligence; Anthropology","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":[0.0005955106,0.0003305136,0.0001475985,0.0004592584,0.0005447478,0.0007289068,0.0003280206,0.0002361894,0.002318534],"category_scores_gemma":[0.002008398,0.0000982534,0.0001386864,0.000220913,0.0005656074,0.000481601,0.0003811721,0.0002442515,0.0001990091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007895834,"about_ca_system_score_gemma":0.0006337439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.150405,"about_ca_topic_score_gemma":0.17528,"domain_scores_codex":[0.9998673,0.00001140127,0.0000128173,0.00003051179,0.0000497298,0.00002820919],"domain_scores_gemma":[0.9990075,0.0001118947,0.0003227693,0.000116938,0.0002486575,0.0001922514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001950529,0.0003401309,0.9277419,0.00007162991,0.0001330132,0.0003720428,0.00906035,0.000135409,0.0196244,0.0004874274,0.0008649908,0.03921828],"study_design_scores_gemma":[0.00001192192,0.0002298475,0.9964105,0.00001156072,0.00003222889,0.000154903,0.00137851,0.0001277763,0.001124309,0.0001773895,0.0003280907,0.00001293695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992349,0.0001564161,0.00002839832,0.00002711932,0.000005426922,0.000002823193,0.00003759817,0.000001654234,0.0005056574],"genre_scores_gemma":[0.9990981,0.00008502741,0.00006059916,0.00001993778,0.000003006364,0.000002089791,0.00006068093,9.670409e-7,0.0006697226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.150405,"threshold_uncertainty_score":0.2990592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01729134908329791,"score_gpt":0.3194200098688391,"score_spread":0.3021286607855412,"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."}}