{"id":"W4307827400","doi":"10.32920/21440808.v1","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":"York University; 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; Working memory; Test (biology); Cognitive psychology; Sociology; Artificial intelligence; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002489657,0.0002188476,0.0002292316,0.0001695948,0.0001904837,0.0001587188,0.0002117551,0.0002596296,0.00759258],"category_scores_gemma":[0.00004198603,0.0001985836,0.00008145123,0.000122719,0.00003562397,0.0002403901,0.00017817,0.0003144839,0.00005060676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007677386,"about_ca_system_score_gemma":0.0001065715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005966395,"about_ca_topic_score_gemma":0.0000778621,"domain_scores_codex":[0.9988597,0.00004696055,0.0003682043,0.0003404359,0.0001746579,0.0002100397],"domain_scores_gemma":[0.9991688,0.00003161807,0.000209632,0.0003313049,0.0001875448,0.00007109781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004030353,0.000548488,0.003815735,0.003801647,0.0005788116,0.00000764617,0.3882468,0.0006139206,0.0002001922,0.1990999,0.3410797,0.06160406],"study_design_scores_gemma":[0.002474517,0.0002451724,0.02163842,0.00002098975,0.0002369003,0.00003725637,0.03410617,0.0006513282,0.00006180332,0.01342957,0.9259752,0.001122682],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09383577,0.002894318,0.2599399,0.001250178,0.007732898,0.007115667,0.0005419662,0.001527397,0.6251618],"genre_scores_gemma":[0.7750975,0.0005069691,0.003599428,0.003891984,0.001416677,0.004126706,0.01601508,0.0001087785,0.1952369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6812618,"threshold_uncertainty_score":0.9933146,"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."}}