{"id":"W4220723994","doi":"10.1007/s10433-022-00688-0","title":"Age integration in later life social networks and self-perceptions of aging: examining their reciprocal associations","year":2022,"lang":"en","type":"article","venue":"European Journal of Ageing","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Respondent; Social network (sociolinguistics); Psychology; Perception; Gerontology; Social integration; Life course approach; Developmental psychology; Demography; Medicine; Social media; Sociology","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":[0.003628926,0.00005542435,0.0001652613,0.0001128752,0.0007278121,0.000056356,0.0001298809,0.00001785427,0.00006715089],"category_scores_gemma":[0.0002522102,0.00005194406,0.0000500002,0.000211422,0.0000473855,0.0001766377,0.00006077213,0.0003980371,4.498472e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000138072,"about_ca_system_score_gemma":0.00009721601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009628849,"about_ca_topic_score_gemma":0.0002546624,"domain_scores_codex":[0.9976737,0.001419103,0.000436591,0.00006700261,0.0002156526,0.0001879843],"domain_scores_gemma":[0.9993029,0.0002119256,0.0003185841,0.00003182219,0.00005577376,0.00007898774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0000307384,0.0002465339,0.3752914,0.00004189629,0.00008561032,0.0003941411,0.5621424,0.003060591,0.000142856,0.0029911,0.002987376,0.05258539],"study_design_scores_gemma":[0.0002785053,0.00006164706,0.9458588,0.00005412397,0.00001187839,0.000002730706,0.04934803,0.000267263,0.000001118802,0.00006552007,0.003983297,0.00006711135],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910455,0.0001487867,0.0008420981,0.002223189,0.0003100961,0.00005882605,0.000003162012,0.00001314059,0.005355154],"genre_scores_gemma":[0.9984581,0.0001420787,0.0002918277,0.0005911275,0.0004292302,7.443762e-7,0.000001912141,0.000009956882,0.00007496579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5705674,"threshold_uncertainty_score":0.5597816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04658159426816212,"score_gpt":0.3061429280526269,"score_spread":0.2595613337844648,"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."}}