{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005009553,0.000200265,0.0002662917,0.0006414179,0.0003277664,0.0009138176,0.0002548096,0.0004658872,0.001344461],"category_scores_gemma":[0.001622737,0.0001709965,0.0003617409,0.001143633,0.0002695154,0.0002519932,0.0003818889,0.0003437592,0.0001380384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004617242,"about_ca_system_score_gemma":0.0005857174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06035831,"about_ca_topic_score_gemma":0.04781527,"domain_scores_codex":[0.9996465,0.0001449032,0.00002595868,0.00006573934,0.00004130704,0.00007550391],"domain_scores_gemma":[0.9994488,0.00007449468,0.0002656497,0.00002791867,0.00006374183,0.0001192809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002071745,0.00001531653,0.9943644,0.00002182383,0.00007555553,0.0001592394,0.0002602859,0.00005608088,0.0001992353,0.00008315771,0.0002995592,0.00425822],"study_design_scores_gemma":[0.000005417576,0.00003839331,0.9977557,0.00003800258,0.00003781296,0.0004293669,0.0009281311,0.0001916956,0.00003874158,0.00007812816,0.0004527297,0.000005931357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980989,0.001021033,0.00005685531,0.0002320007,0.00001156693,0.000001703155,0.0002464066,0.000004546835,0.0003269894],"genre_scores_gemma":[0.9993182,0.0003115196,0.00007743089,0.00002968233,0.000008816759,0.000001751209,0.0001553458,0.000002541974,0.0000946517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06035831,"threshold_uncertainty_score":0.120014,"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."}}