{"id":"W3025117183","doi":"10.5539/gjhs.v12n7p142","title":"Refugees, Health Management, and Cultural Influence","year":2020,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Health care; Population; Language barrier; Medicine; Psychology; Nursing; Political science; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001822429,0.0001399577,0.0003018547,0.0008407127,0.002675059,0.002024346,0.0002507185,0.0003763613,0.003475751],"category_scores_gemma":[0.006388379,0.0001118435,0.0001970056,0.0008914504,0.003488365,0.000638945,0.002039275,0.000893312,0.0001223548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062906,"about_ca_system_score_gemma":0.001698422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009761486,"about_ca_topic_score_gemma":0.01433849,"domain_scores_codex":[0.9982552,0.001095376,0.0001177087,0.00008698469,0.0001998748,0.0002447992],"domain_scores_gemma":[0.9974108,0.001177844,0.000457956,0.00007903625,0.0002197674,0.0006545987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001912905,0.0004718979,0.6443629,0.001140393,0.0002483784,0.005956296,0.1836252,0.0002169006,0.0009083163,0.0191248,0.007043591,0.1367101],"study_design_scores_gemma":[0.00001737225,0.0001884367,0.4689467,0.001526424,0.00007673238,0.002755998,0.4818934,0.00008096868,0.0002279967,0.002237218,0.04199694,0.0000517036],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445919,0.01362364,0.0001389636,0.009820818,0.0002109757,0.00002509626,0.00007372613,0.000005425862,0.03150935],"genre_scores_gemma":[0.9923712,0.006010728,0.00006461824,0.0007465948,0.00004781187,0.000008032775,0.00001735583,0.000002980904,0.0007307254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009761486,"threshold_uncertainty_score":0.0194093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0344583142604453,"score_gpt":0.4055075333167759,"score_spread":0.3710492190563305,"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."}}