{"id":"W2096560961","doi":"10.1037/a0023426","title":"Cohort differences in cognitive aging and terminal decline in the Seattle Longitudinal Study.","year":2011,"lang":"en","type":"article","venue":"Developmental Psychology","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Aging","keywords":"Cohort; Life expectancy; Cohort effect; Psychology; Demography; Gerontology; Longitudinal study; Cognition; Cohort study; Life course approach; Population; Cognitive decline; Life span; Developmental psychology; Medicine; Dementia; Disease; Psychiatry","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":[0.001760693,0.000141209,0.0002088293,0.0002348374,0.0002209368,0.00004018261,0.000340176,0.00006224333,0.0001664511],"category_scores_gemma":[0.000042831,0.0001143772,0.00002381103,0.0004754806,0.0005363455,0.0001316576,0.0001091498,0.0002036079,0.00002027835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004087948,"about_ca_system_score_gemma":0.00003536946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004231719,"about_ca_topic_score_gemma":0.04989847,"domain_scores_codex":[0.9981655,0.0004391862,0.0003035005,0.0004116509,0.0003005429,0.0003796376],"domain_scores_gemma":[0.9996501,0.0001129042,0.00007055075,0.00009580946,0.00002629751,0.000044393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004101216,0.000460857,0.9534669,0.000003031562,0.00003043787,0.000202657,0.03917281,7.337547e-9,6.980927e-7,0.0003461505,0.00006514961,0.006210306],"study_design_scores_gemma":[0.0007100884,0.00007109535,0.9625707,0.00001883717,0.0000129864,0.00001149034,0.03516678,6.047845e-7,0.000001252091,0.001101734,0.0001908024,0.0001436292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9516881,0.00006416093,0.00002689516,0.0002839092,0.0002442001,0.0007120111,0.000002758595,0.00001810433,0.04695988],"genre_scores_gemma":[0.9985996,0.0001139971,0.0002860747,0.0007677648,0.00003521322,0.0001233558,0.000003685521,0.000006177546,0.0000641512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0469115,"threshold_uncertainty_score":0.9674384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1342174586502982,"score_gpt":0.3955988096583893,"score_spread":0.2613813510080911,"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."}}