{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003651677,0.0002290995,0.0005187052,0.0002995599,0.0004898884,0.00003767979,0.0002210267,0.00009748129,0.00002872488],"category_scores_gemma":[0.0006784862,0.000157188,0.00007732506,0.0005270148,0.00005400772,0.0001233672,0.00002421113,0.0002901735,0.000018454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001827571,"about_ca_system_score_gemma":0.0006640846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01871568,"about_ca_topic_score_gemma":0.03577933,"domain_scores_codex":[0.9961726,0.001124953,0.001203991,0.000424588,0.0004716618,0.0006022127],"domain_scores_gemma":[0.9972655,0.0006380521,0.0005983507,0.0008447308,0.0001853597,0.000468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001129877,0.0006801406,0.9859822,0.00008355677,0.00001637697,0.0000019911,0.004646259,0.00005176288,4.785049e-7,0.005771662,0.0000423694,0.002610193],"study_design_scores_gemma":[0.001846248,0.001126807,0.994296,0.00003085943,0.00000477346,0.000002485288,0.001846451,0.0000870126,4.299427e-7,0.0004641024,0.0001644045,0.000130386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925775,0.0000762992,0.0002267843,0.005412316,0.0001602809,0.001347587,0.0000355919,0.00008209285,0.0000815268],"genre_scores_gemma":[0.9958848,0.000008702275,0.0001078495,0.003835815,0.00003096477,0.00005025863,0.00002233712,0.00001286777,0.0000464021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01706364,"threshold_uncertainty_score":0.9878188,"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."}}