{"id":"W2576589379","doi":"","title":"Cognitive Aging: A Primer","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognition; Cognitive decline; Cognitive skill; Psychology; Productivity; Work (physics); Affect (linguistics); Quarter (Canadian coin); Financial independence; Gerontology; Business; Medicine; Economics; Economic growth; Engineering; Finance; Dementia; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004726826,0.0002576912,0.0004314968,0.0002782111,0.0004477255,0.0002269454,0.000815333,0.0004362387,0.0006568361],"category_scores_gemma":[0.001612425,0.0002466379,0.0002100866,0.0001110949,0.001592082,0.0001281321,0.001082527,0.0009975325,0.00009633019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002119634,"about_ca_system_score_gemma":0.001592883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001532366,"about_ca_topic_score_gemma":0.003614849,"domain_scores_codex":[0.9957693,0.0009507249,0.0005249697,0.001023961,0.0005858337,0.001145164],"domain_scores_gemma":[0.9976196,0.0009956622,0.0001632028,0.0006555206,0.0002303506,0.0003357144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001792112,0.0007189128,0.281412,0.0003078762,0.0003027064,0.00003126349,0.0231265,0.00004431325,0.00005773435,0.01024346,0.0006181993,0.6829578],"study_design_scores_gemma":[0.004413204,0.0004590209,0.1027233,0.004161705,0.0001015317,0.000002940377,0.06649919,0.0002710073,0.0009368752,0.1840052,0.6327996,0.003626362],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3514467,0.0001081597,0.00000322949,0.002343286,0.0006559354,0.001298591,0.00004846688,0.00005646465,0.6440392],"genre_scores_gemma":[0.9771292,0.009479718,0.00005597339,0.0001146731,0.0007609964,0.0004215566,0.00002146498,0.00004558691,0.01197083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6793315,"threshold_uncertainty_score":0.9999986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2346323318542168,"score_gpt":0.4726898824806661,"score_spread":0.2380575506264493,"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."}}