{"id":"W2807893556","doi":"10.1161/hypertensionaha.118.10999","title":"Pregnancy Weight Gain Before Diagnosis and Risk of Preeclampsia","year":2018,"lang":"en","type":"article","venue":"Hypertension","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Canadian Institutes of Health Research","keywords":"Preeclampsia; Medicine; Weight gain; Pregnancy; Obstetrics; Overweight; Body mass index; Odds ratio; Population; Gestation; Gynecology; Internal medicine; Body weight","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001159576,0.0001580161,0.0003840003,0.00007134152,0.0001478244,0.000004534003,0.00005519227,0.000116093,0.00005447567],"category_scores_gemma":[0.0002252456,0.0001120437,0.00007937026,0.0001361071,0.0002882539,0.00007410088,0.0001041294,0.0001324646,0.00002150443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000106573,"about_ca_system_score_gemma":0.00002210274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007146706,"about_ca_topic_score_gemma":0.00006914517,"domain_scores_codex":[0.9990331,0.00005830992,0.0002281053,0.0002806076,0.0001896282,0.000210254],"domain_scores_gemma":[0.9991755,0.0000981424,0.0001051806,0.0003651503,0.0001652627,0.00009076195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001405418,0.0001683972,0.9215274,0.0002197438,0.0001988671,0.00003254912,0.001177214,9.932182e-8,0.001247248,0.000238078,0.00413208,0.07091776],"study_design_scores_gemma":[0.002275301,0.001768821,0.9544108,0.004333322,0.000781765,0.0001673399,0.0001295296,0.0004088224,0.02576421,0.001740439,0.008001612,0.0002180529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744154,0.01872137,0.00008574945,0.0004001523,0.0001860211,0.0004294548,0.00001656921,0.00006668298,0.005678596],"genre_scores_gemma":[0.987766,0.009889508,0.001655119,0.0001611497,0.0001599639,0.00003936753,0.000007551374,0.00001972303,0.0003015755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0706997,"threshold_uncertainty_score":0.4569011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02521492200266208,"score_gpt":0.2526047428729938,"score_spread":0.2273898208703317,"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."}}