{"id":"W1998654189","doi":"10.1186/1471-2458-9-237","title":"The joint influence of area income, income inequality, and immigrant density on adverse birth outcomes: a population-based study","year":2009,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal; Institut National de Santé Publique du Québec","funders":"University of South Australia","keywords":"Medicine; Demography; Odds ratio; Socioeconomic status; Neighbourhood (mathematics); Small for gestational age; Confidence interval; Social class; Household income; Odds; Population; Place of birth; Biostatistics; Live birth; Logistic regression; Public health; Birth weight; Pregnancy; Environmental health; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001521861,0.0004255279,0.0004544664,0.000869495,0.001360171,0.001102504,0.00121294,0.0006643216,0.001479386],"category_scores_gemma":[0.003096737,0.0003457662,0.0007331672,0.002135237,0.000760588,0.0004249448,0.0008698381,0.0008015155,0.0002056206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00426237,"about_ca_system_score_gemma":0.004490283,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8370332,"about_ca_topic_score_gemma":0.8439513,"domain_scores_codex":[0.9988418,0.0003250385,0.00007092284,0.0002516314,0.0002456795,0.0002649234],"domain_scores_gemma":[0.9976261,0.0003423023,0.000686462,0.0002767105,0.0006027728,0.0004656575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005623064,0.00002236626,0.9986022,0.000009830222,0.0001099491,0.00003685259,0.000135574,0.00002872662,0.00005608588,0.00001683022,0.0001389975,0.0007863375],"study_design_scores_gemma":[0.000003695238,0.00002886178,0.9994807,0.000007891802,0.0000332288,0.00003481535,0.0001762396,0.0001071115,0.000009265752,0.000008345068,0.000106478,0.00000335171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978669,0.000408755,0.0001352966,0.00009949361,0.000007795871,0.00002223282,0.001005568,0.000005451465,0.0004484997],"genre_scores_gemma":[0.9991455,0.0001565951,0.0001020731,0.00004433799,0.000007563664,0.00001350485,0.0003754474,0.000002648197,0.0001522155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8370332,"threshold_uncertainty_score":0.327853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05945852079610556,"score_gpt":0.3638896461601355,"score_spread":0.3044311253640299,"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."}}