{"id":"W1504711097","doi":"10.4040/jkan.2010.40.3.389","title":"A Structural Equation Model on Mental Health of Korean Immigrants in Canada","year":2010,"lang":"en","type":"article","venue":"Journal of Korean Academy of Nursing","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Structural equation modeling; Mental health; Immigration; Descriptive statistics; Psychology; Quality of life (healthcare); Cohesion (chemistry); Gerontology; Clinical psychology; Medicine; Psychiatry; Mathematics; Geography; Statistics","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":[0.002109508,0.0009812686,0.0007718991,0.001637575,0.002410754,0.002528444,0.001794659,0.000963821,0.004221052],"category_scores_gemma":[0.004871456,0.00053801,0.00118845,0.002358656,0.001092021,0.00112211,0.001531212,0.001563325,0.0003574992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01824038,"about_ca_system_score_gemma":0.03657715,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8599306,"about_ca_topic_score_gemma":0.8049287,"domain_scores_codex":[0.9988506,0.0003618789,0.00004811533,0.0001913064,0.0002488896,0.0002992132],"domain_scores_gemma":[0.9983785,0.0005168529,0.0001850154,0.00005970807,0.0007103988,0.000149398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002587608,0.000658594,0.8494745,0.0003093092,0.0005467598,0.0007737204,0.01009074,0.03453043,0.0005292997,0.04688088,0.0129085,0.04303857],"study_design_scores_gemma":[0.0003537951,0.0004012646,0.4556915,0.001209911,0.0008323115,0.0005681563,0.01700024,0.4806384,0.000390982,0.02466642,0.01806375,0.0001832144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574033,0.001067274,0.01488321,0.006690718,0.0001742536,0.0007275129,0.004872567,0.0002398552,0.01394129],"genre_scores_gemma":[0.9861958,0.0009627061,0.007202492,0.0002089328,0.00002293427,0.0003547703,0.002259501,0.00001955475,0.002773368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1400694,"threshold_uncertainty_score":0.2817885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05602763739833277,"score_gpt":0.3715412857535397,"score_spread":0.315513648355207,"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."}}