{"id":"W1996283398","doi":"10.1007/s10903-013-9919-0","title":"Use of an Emergency Department in Saint-Laurent du Maroni, French Guiana: Does Being Undocumented Make a Difference?","year":2013,"lang":"en","type":"article","venue":"Journal of Immigrant and Minority Health","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Agence Française de Développement; Institut National de la Santé et de la Recherche Médicale","keywords":"Medicine; Logistic regression; Quarter (Canadian coin); Public health; Health care; Emergency department; Family medicine; Health insurance; Demography; Population; Environmental health; Nursing; Geography; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001353208,0.0001375254,0.0004562378,0.0002529486,0.0003924222,0.00008165178,0.0001727107,0.00008053958,0.0001881186],"category_scores_gemma":[0.0001238083,0.0001017882,0.00009357314,0.0002277276,0.00009368167,0.0004896579,0.00002685434,0.0002203568,0.000001561431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003259823,"about_ca_system_score_gemma":0.000467679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4569325,"about_ca_topic_score_gemma":0.7772472,"domain_scores_codex":[0.9974583,0.0003996136,0.001037245,0.0001683388,0.0005181168,0.0004184082],"domain_scores_gemma":[0.9983944,0.00006293577,0.0006914169,0.0001263556,0.00029727,0.0004275708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002991651,0.0004221445,0.955941,0.0001953204,0.00002526158,0.000006209846,0.02050434,0.000001275661,0.00006549883,0.002346356,0.002396719,0.01806598],"study_design_scores_gemma":[0.0005297611,0.0003690626,0.9863641,0.0001074339,0.00002122856,0.000006478215,0.003644363,0.00006449638,0.00001388413,0.005906851,0.002857494,0.0001148521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914298,0.001605367,0.00007856396,0.005804613,0.0005718968,0.0004334571,0.00001058968,0.000006985018,0.00005874613],"genre_scores_gemma":[0.9735402,0.02517855,0.0005058957,0.0001589801,0.0003077124,0.000006370973,0.000006395018,0.000005239055,0.0002906579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3203147,"threshold_uncertainty_score":0.5466838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224475298269315,"score_gpt":0.3049623657062083,"score_spread":0.2827176127235152,"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."}}