{"id":"W2610587168","doi":"10.1002/oby.21858","title":"The INTERGROWTH‐21st gestational weight gain standard and interpregnancy weight increase: A population‐based study of successive pregnancies","year":2017,"lang":"en","type":"article","venue":"Obesity","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Provincial Health Services Authority; University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Canadian Institutes of Health Research","keywords":"Weight gain; Medicine; Percentile; Pregnancy; Obstetrics; Logistic regression; Population; Obesity; Gestational age; Weight change; Weight loss; Gynecology; Internal medicine; Body weight; Mathematics; Statistics; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003276703,0.000123065,0.0002154075,0.00009231712,0.000565815,0.0001050759,0.0002261091,0.00003010087,0.00005915956],"category_scores_gemma":[0.0008205698,0.00008403733,0.00004604894,0.00005941066,0.000141249,0.0001892447,0.0002069725,0.0001241313,0.000004139426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007695987,"about_ca_system_score_gemma":0.00009915384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004529371,"about_ca_topic_score_gemma":0.0008369696,"domain_scores_codex":[0.9986617,0.0001094871,0.0002408835,0.0002241142,0.0005596821,0.0002041383],"domain_scores_gemma":[0.9986264,0.0002934535,0.0002082692,0.0004435341,0.0003075075,0.0001208875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003308149,0.0004127946,0.9882165,0.0001974756,0.0001197555,0.00002214799,0.0002802116,0.000004982308,0.00006094264,0.003466056,0.0004722657,0.00641605],"study_design_scores_gemma":[0.001970886,0.0005554427,0.9943259,0.0004311931,0.00006005013,8.982657e-7,0.0003064151,0.0005014662,0.0002989546,0.001019823,0.0004472932,0.00008166733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956037,0.0003832191,0.0004475711,0.001042941,0.00007019303,0.0008031971,0.00005605761,0.00001707527,0.001576005],"genre_scores_gemma":[0.9984487,0.0000944794,0.0002995504,0.00004308167,0.00003547023,0.00007415943,0.00005491995,0.000010146,0.0009394726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006334383,"threshold_uncertainty_score":0.4351848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192570692208437,"score_gpt":0.295203579392836,"score_spread":0.2832778724707516,"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."}}