{"id":"W3122287280","doi":"10.1016/j.healthplace.2021.102510","title":"Changes in neighborhood-level socioeconomic disadvantage and older Americans’ cognitive functioning","year":2021,"lang":"en","type":"article","venue":"Health & Place","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Research and Innovation; European Commission; Federation for the Humanities and Social Sciences; H2020 European Research Council; Université du Luxembourg","keywords":"Socioeconomic status; Mediation; Confounding; Cognition; Affect (linguistics); Gerontology; Psychology; Demography; Medicine; Population; Sociology; Psychiatry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006421172,0.00009959404,0.0002647389,0.00004941562,0.0006037097,0.00005615882,0.00004973931,0.00006884123,0.0005061842],"category_scores_gemma":[0.0002007441,0.0001105348,0.00002390164,0.0001453118,0.0001429654,0.0001367317,0.00003654564,0.0001943615,0.0000328191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003124179,"about_ca_system_score_gemma":0.001056945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01309562,"about_ca_topic_score_gemma":0.1436092,"domain_scores_codex":[0.9984603,0.0003036415,0.0002188536,0.0002769822,0.0001301533,0.0006101029],"domain_scores_gemma":[0.9988515,0.0006473004,0.0001037837,0.00007128291,0.00003907215,0.0002870156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003482743,0.00007869828,0.8590931,0.0003775813,0.00001598483,0.00002483343,0.05485549,0.000003608512,0.000001550989,0.01198762,0.002841855,0.07068487],"study_design_scores_gemma":[0.0007741541,0.00004552036,0.8082279,0.0002113225,0.000005779537,0.000004115491,0.1468042,0.0000581362,0.000005484295,0.0003177575,0.04334354,0.0002020354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8411784,0.00492194,0.0004208928,0.1437051,0.0008816457,0.0005673823,0.00009744673,0.00007976958,0.008147442],"genre_scores_gemma":[0.9567899,0.005446201,0.0002346569,0.03380584,0.0002514552,0.00004370775,0.00002059306,0.00001517913,0.003392517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1305135,"threshold_uncertainty_score":0.9934763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04842840197070244,"score_gpt":0.3717830195539363,"score_spread":0.3233546175832339,"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."}}