{"id":"W2775884407","doi":"10.1111/ppe.12435","title":"Gestational Weight Gain‐for‐Gestational Age <i>Z</i>‐Score Charts Applied across U.S. Populations","year":2017,"lang":"en","type":"article","venue":"Paediatric and Perinatal Epidemiology","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Nursing Research","keywords":"Weight gain; Medicine; Gestational age; Birth weight; Gestation; Percentile; Obstetrics; Demography; Pregnancy; Body weight; Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000919692,0.0001845121,0.000402723,0.0001054586,0.0007972533,0.00004000746,0.0001534387,0.000121508,0.0001014752],"category_scores_gemma":[0.002736685,0.0001637897,0.0001073918,0.00005823609,0.0003560583,0.000134844,0.0001544359,0.00019404,0.00003989855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004619324,"about_ca_system_score_gemma":0.0000837535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006662889,"about_ca_topic_score_gemma":0.00002232668,"domain_scores_codex":[0.9983416,0.00006393652,0.0003929928,0.0004381321,0.0002043698,0.0005589926],"domain_scores_gemma":[0.9979455,0.001093732,0.0002185549,0.0002950026,0.0001502805,0.0002969179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004322988,0.0001317076,0.5690305,0.0007345629,0.0001428722,0.00006570294,0.0003039655,0.0002664103,0.000116842,0.3543195,0.01513616,0.05931953],"study_design_scores_gemma":[0.001529609,0.00016238,0.9333429,0.00001040438,0.00003772961,0.00002069246,0.00004481467,0.001725068,0.00000731683,0.02452424,0.03843629,0.0001585513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9541775,0.001843194,0.01377804,0.02072844,0.0005901481,0.001655019,0.001122813,0.00008816607,0.006016657],"genre_scores_gemma":[0.9799979,0.0006405164,0.01351576,0.00145317,0.0006059901,0.00037166,0.001559851,0.00002144169,0.001833741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3643124,"threshold_uncertainty_score":0.667915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1050802775015214,"score_gpt":0.3934065719531344,"score_spread":0.288326294451613,"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."}}