{"id":"W3017066007","doi":"10.1177/0164027520920026","title":"The Structure and Determinants of Intergenerational Support Exchange Flows in an Eastern European Setting","year":2020,"lang":"en","type":"article","venue":"Research on Aging","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Saint Vincent University","funders":"Paul and Daisy Soros Fellowships for New Americans","keywords":"Typology; Receipt; Demographic economics; Latent class model; Romanian; Psychology; Multivariate analysis; Population; Economics; Demography; Sociology; Medicine","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":[0.00183389,0.0000488276,0.00006063595,0.00006038044,0.0004490963,0.0001452481,0.0002102885,0.00002034205,0.00003950667],"category_scores_gemma":[0.0002246952,0.00003878606,0.00001604143,0.0001431002,0.00009703965,0.000121679,0.0001060645,0.0001895869,0.00000375887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000400939,"about_ca_system_score_gemma":0.00008882995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001513988,"about_ca_topic_score_gemma":0.006615116,"domain_scores_codex":[0.9982868,0.000698581,0.0001465641,0.0001613927,0.0004740509,0.0002326052],"domain_scores_gemma":[0.9995432,0.0001397963,0.0000314915,0.00006898661,0.0001273966,0.00008909065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001048809,0.00005730653,0.5002473,0.0001250192,0.00002324197,0.0001249838,0.145842,0.00124302,0.03379158,0.04128005,0.001256341,0.2759043],"study_design_scores_gemma":[0.0008953047,0.0007425192,0.1096178,0.0004156423,0.000006045501,0.000004214836,0.07034025,0.7913819,0.002888479,0.001723189,0.02142088,0.0005638265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954932,0.00004159712,0.00002816475,0.001976212,0.00007711795,0.0000941183,0.00000970346,0.000006199743,0.002273702],"genre_scores_gemma":[0.9992062,0.00004509962,0.00006836662,0.0001800961,0.0003310199,0.000001948707,0.000006141584,0.000008213124,0.0001529157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7901388,"threshold_uncertainty_score":0.369139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08425147489368866,"score_gpt":0.4063703109397996,"score_spread":0.3221188360461109,"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."}}