{"id":"W1606396930","doi":"10.1111/ppe.12168","title":"Comparison of Gestational Weight Gain z‐Scores and Traditional Weight Gain Measures in Relation to Perinatal Outcomes","year":2014,"lang":"en","type":"article","venue":"Paediatric and Perinatal Epidemiology","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Child Health and Human Development; Canadian Institutes of Health Research; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Health Canada; National Institutes of Health; Michael Smith Health Research BC; Thrasher Research Fund","keywords":"Medicine; Weight gain; Gestation; Obstetrics; Gestational age; Overweight; Birth weight; Percentile; Confounding; Pregnancy; Small for gestational age; Body mass index; Live birth; Body weight; Internal medicine; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002477288,0.0003789636,0.0003505423,0.001625116,0.0001057087,0.0005067156,0.0004672899,0.0002996203,0.0009077257],"category_scores_gemma":[0.01176486,0.0001496125,0.000383964,0.001936773,0.0004308301,0.0004024591,0.0006959242,0.0004885622,0.000159204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003110968,"about_ca_system_score_gemma":0.0001984429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002119103,"about_ca_topic_score_gemma":0.00179523,"domain_scores_codex":[0.9982833,0.0008214061,0.0001457761,0.0002696457,0.0004003882,0.000079566],"domain_scores_gemma":[0.9910191,0.004317027,0.003584404,0.0003891205,0.0003747685,0.0003155494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007844874,0.00001587499,0.994637,0.0000337173,0.0003262007,0.00002191939,0.00005055551,0.0001600608,0.0001504433,0.00006204246,0.00008802477,0.003669859],"study_design_scores_gemma":[0.00003364373,0.0003640661,0.9981988,0.00001579137,0.00007623179,0.0001464066,0.00007555925,0.0006500689,0.0001761943,0.0001016771,0.0001565866,0.000004955696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975187,0.0006100151,0.0008727632,0.00003540247,0.0000105655,0.00001619253,0.0006191646,0.000009990374,0.00030724],"genre_scores_gemma":[0.9981532,0.0002249694,0.000762458,0.00001250303,0.00001072486,0.000030511,0.0007243088,0.000006199135,0.00007519508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002477288,"threshold_uncertainty_score":0.01310128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0644244794984591,"score_gpt":0.3500841891541427,"score_spread":0.2856597096556836,"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."}}