{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001345146,0.0001611269,0.0005672785,0.0003953899,0.00006743893,0.000005645024,0.00006611734,0.0001054646,0.00009035209],"category_scores_gemma":[0.003737772,0.0001351018,0.00006040035,0.0001842771,0.0001739062,0.00009067711,0.00007250515,0.0002224377,0.000009900599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004758635,"about_ca_system_score_gemma":0.00004785739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001065834,"about_ca_topic_score_gemma":0.00002800399,"domain_scores_codex":[0.9981725,0.0003536105,0.0005433147,0.0003401811,0.0002739914,0.0003163947],"domain_scores_gemma":[0.9964759,0.002977594,0.0001154807,0.0001095147,0.00008810072,0.0002334191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001638199,0.00007778543,0.9280483,0.0002561553,0.00003482466,0.000005151713,0.0002196773,0.0003336857,0.00007130307,0.05434122,0.0009512848,0.01549686],"study_design_scores_gemma":[0.001138618,0.0005418582,0.9777246,0.00002515802,0.00002191037,0.00001174066,0.00006255458,0.009368093,0.00002226402,0.006045828,0.00491643,0.0001209102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848695,0.001822503,0.004929341,0.006960055,0.00009596469,0.0003651525,0.00007694332,0.00001681702,0.0008637254],"genre_scores_gemma":[0.9927567,0.0003148725,0.005812112,0.0005657171,0.0001221599,0.0000665915,0.0001860785,0.00001087079,0.000164956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04967641,"threshold_uncertainty_score":0.5509291,"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."}}