{"id":"W2034960252","doi":"10.1016/j.socscimed.2010.01.009","title":"“My health has improved because I always have everything I need here…”: A qualitative exploration of health improvement and decline among immigrants","year":2010,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Immigration; Acculturation; Population; Medicine; Gerontology; Demography; Health care; Population health; Environmental health; Sociology; Geography; Political science","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":[0.008139473,0.0002068887,0.0005618952,0.0002545023,0.001195224,0.00003318168,0.0002490493,0.0001160304,0.00010997],"category_scores_gemma":[0.0004734274,0.0001709888,0.00004321852,0.0006724313,0.001937733,0.0005352015,0.00004679425,0.0004194278,0.00000329001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001363901,"about_ca_system_score_gemma":0.0009005733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06997906,"about_ca_topic_score_gemma":0.03942005,"domain_scores_codex":[0.9966227,0.0003424983,0.00105238,0.0005532696,0.0006894254,0.0007397554],"domain_scores_gemma":[0.9978464,0.0001873543,0.0009271463,0.0002649581,0.0003118007,0.000462381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008345707,0.0001437424,0.006359235,0.00009174339,0.00001608515,7.374995e-7,0.9040719,1.328323e-7,0.006718972,0.004472052,0.001113043,0.07692894],"study_design_scores_gemma":[0.006183741,0.003643412,0.1996956,0.0002000404,0.00003118784,0.000005309893,0.7795084,0.0003704581,0.0004580224,0.008635244,0.0008637998,0.0004047552],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633264,0.0004124106,0.00242886,0.03128515,0.001071769,0.001072378,0.00001926909,0.00004887436,0.000334899],"genre_scores_gemma":[0.9957585,0.00005095759,0.0002184256,0.003336839,0.0004218038,0.00006941339,0.00003141564,0.00001562844,0.00009696451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1933364,"threshold_uncertainty_score":0.978108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08613497351104842,"score_gpt":0.4318134122031111,"score_spread":0.3456784386920627,"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."}}