{"id":"W1569340659","doi":"","title":"The Nature of Support from Adult Sansei (Third Generation) Children to Older Nisei (Second Generation) Parents in Japanese Canadian Families","year":2000,"lang":"en","type":"article","venue":"Social and Economic Dimensions of an Aging Population Research Papers","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Ethnic group; Psychology; Context (archaeology); Ordinary least squares; Family support; Population; Logistic regression; Diversity (politics); Demography; Gerontology; Medicine; Geography; Sociology; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005202472,0.0001887023,0.0001986233,0.000672599,0.002733532,0.001023401,0.000402302,0.0002089634,0.000933621],"category_scores_gemma":[0.001779148,0.0001377332,0.0001858509,0.0008088474,0.0008142029,0.0003010735,0.001018209,0.0003973716,0.00005793891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005563123,"about_ca_system_score_gemma":0.006152496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.784199,"about_ca_topic_score_gemma":0.9398276,"domain_scores_codex":[0.9996443,0.00003426316,0.00001906341,0.00003976158,0.00007361409,0.0001889358],"domain_scores_gemma":[0.9992021,0.0001100576,0.0002134491,0.00002465537,0.000183422,0.0002662851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009437445,0.00003161627,0.8697558,0.00004106273,0.000019002,0.001078973,0.1109336,0.00006976643,0.001330243,0.000347948,0.0003931104,0.01590465],"study_design_scores_gemma":[0.000002036283,0.00002161423,0.9058474,0.00002266586,0.00001305666,0.0002375118,0.09246786,0.00005086084,0.0001307281,0.00003443288,0.001163587,0.000008377106],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991547,0.0000722035,0.000006860899,0.00002829936,0.000001060426,0.000002138526,0.00002909958,4.140568e-7,0.000705222],"genre_scores_gemma":[0.9993355,0.0001551043,0.00004628803,0.00001832349,6.69745e-7,0.000003888291,0.00004639299,5.68306e-7,0.0003932485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.215801,"threshold_uncertainty_score":0.4341438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02265759728072067,"score_gpt":0.319676872604273,"score_spread":0.2970192753235523,"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."}}