{"id":"W2914310100","doi":"10.1111/ppe.12532","title":"Mother’s age at delivery and daughters’ risk of preeclampsia","year":2019,"lang":"en","type":"article","venue":"Paediatric and Perinatal Epidemiology","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Royal Victoria Hospital; McGill University Health Centre; Royal Victoria Regional Health Centre","funders":"National Institute of Environmental Health Sciences; National Institutes of Health","keywords":"Medicine; Daughter; Preeclampsia; Relative risk; Demography; Obstetrics; Birth weight; Confidence interval; Live birth; Pregnancy; 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":[0.0005351941,0.0001077723,0.0002017168,0.0003005046,0.0001902284,0.0004326462,0.0002191406,0.0001826088,0.002358659],"category_scores_gemma":[0.003506017,0.0001728426,0.0002585282,0.0002841818,0.0001345237,0.00023277,0.0002892014,0.000323123,0.0002437108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000158278,"about_ca_system_score_gemma":0.0001360037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002812228,"about_ca_topic_score_gemma":0.001916058,"domain_scores_codex":[0.9998031,0.00005582686,0.00002140923,0.00005285037,0.00003982016,0.00002699462],"domain_scores_gemma":[0.9987096,0.0003852952,0.0005896374,0.00008688596,0.00008056117,0.000148031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000795538,0.000010045,0.9983424,0.000004500445,0.00002927712,0.0000877733,0.00008187404,0.00001461345,0.00007470459,0.00001946009,0.00005984192,0.001195931],"study_design_scores_gemma":[0.000004580031,0.00005228637,0.9988652,0.000009160817,0.00003294193,0.0004641923,0.0001554466,0.00008968878,0.00005918469,0.00002781109,0.0002379039,0.000001617909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988567,0.0002972494,0.00003911832,0.00006784962,0.000007384936,0.000001805312,0.0001768456,0.000001961121,0.0005510294],"genre_scores_gemma":[0.9993951,0.0001848417,0.0000446914,0.00001298419,0.000006584254,0.000001817295,0.0001049691,0.000001378247,0.0002476932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002812228,"threshold_uncertainty_score":0.007890463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02181407216616902,"score_gpt":0.2681959292953598,"score_spread":0.2463818571291908,"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."}}