{"id":"W4312104133","doi":"10.1093/geroni/igac059.2092","title":"HEALTH ACROSS BORDERS: A CROSS-NATIONAL COMPARISON OF IMMIGRANT HEALTH IN EUROPE","year":2022,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Immigration; Disadvantaged; Socioeconomic status; Health equity; Disadvantage; Mental health; Social determinants of health; Geography; Population; Demographic economics; Demography; Gerontology; Medicine; Public health; Political science; Sociology; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001340481,0.0001886076,0.0003799688,0.001141826,0.0006443782,0.0008764751,0.000389521,0.0006225514,0.001134512],"category_scores_gemma":[0.002426478,0.0001392356,0.0006837809,0.001619405,0.000339116,0.0006250827,0.001455845,0.0003218346,0.0001285045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004098483,"about_ca_system_score_gemma":0.0005074856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02196238,"about_ca_topic_score_gemma":0.02742863,"domain_scores_codex":[0.9994043,0.00021774,0.00008956739,0.0001046554,0.00006917443,0.0001144627],"domain_scores_gemma":[0.9990689,0.000228004,0.0003162613,0.00007526134,0.0001632646,0.000148382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001108316,0.00004735432,0.9958971,0.00004302463,0.0001953911,0.0001304514,0.00109355,0.00007110935,0.0001840713,0.00008643264,0.0001527067,0.001988058],"study_design_scores_gemma":[0.000003460241,0.00005070449,0.9966258,0.000029303,0.0000342898,0.00005906337,0.002867885,0.00006877244,0.00002285851,0.00001900448,0.000215134,0.000003777254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998978,0.0001940542,0.00003747589,0.00004104213,0.000007996415,0.000008911361,0.0003839021,8.169717e-7,0.0003478245],"genre_scores_gemma":[0.999079,0.0001649955,0.00006328771,0.00004614825,0.000005147662,0.00001566877,0.0005338132,9.836053e-7,0.00009093992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02196238,"threshold_uncertainty_score":0.0436691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07068385819045349,"score_gpt":0.475148577652607,"score_spread":0.4044647194621535,"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."}}