{"id":"W2982744915","doi":"10.1093/eurpub/ckz185.246","title":"Risk of macrosomia and low birthweight among immigrants in Belgium, a perfect mirror?","year":2019,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Naturalization; Socioeconomic status; Demography; Immigration; Turkish; Fetal macrosomia; Medicine; Logistic regression; Low birth weight; Odds ratio; Odds; Pregnancy; Geography; Population; Sociology; Gestation; Internal medicine","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":[0.005579897,0.000130157,0.0005457423,0.0003739902,0.00003626492,0.00002477272,0.0001217608,0.00002491225,0.0001296651],"category_scores_gemma":[0.0001505732,0.00009607805,0.0001218661,0.000282333,0.00007852143,0.000171611,0.00003778266,0.0005321451,0.00001535528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001147511,"about_ca_system_score_gemma":0.000444262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00138763,"about_ca_topic_score_gemma":0.0003408515,"domain_scores_codex":[0.9973987,0.001003062,0.0007932961,0.0001606467,0.0003051959,0.0003391445],"domain_scores_gemma":[0.9983601,0.00006520302,0.0007587678,0.0002059199,0.0001265584,0.0004834611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007632846,0.0001220683,0.9486804,0.000188479,0.00004819079,0.0000882644,0.002945018,0.000001059658,0.0004838791,0.000008410628,0.0003376911,0.04702022],"study_design_scores_gemma":[0.003449144,0.001278039,0.9892492,0.0004102921,0.00001321787,0.000134833,0.0005413776,0.00005226406,0.00005201586,0.000003302734,0.004740315,0.00007594057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960434,0.001250752,0.00007219845,0.001432159,0.0002496628,0.0002072236,0.00001776061,0.000007080941,0.0007197058],"genre_scores_gemma":[0.9974887,0.001759363,0.0001998107,0.0002680727,0.000100674,2.594626e-7,0.000002044566,0.00003204206,0.0001490075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04694427,"threshold_uncertainty_score":0.3917949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955803165745728,"score_gpt":0.2742820117408774,"score_spread":0.2547239800834201,"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."}}