{"id":"W1516458039","doi":"10.1002/oby.21011","title":"Pregnancy weight gain charts for obese and overweight women","year":2015,"lang":"en","type":"article","venue":"Obesity","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Canadian Institutes of Health Research; National Institutes of Health; Michael Smith Health Research BC","keywords":"Overweight; Weight gain; Medicine; Pregnancy; Obstetrics; Obesity; Percentile; Gestation; Body mass index; Internal medicine; Body weight; Mathematics; 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":[0.003032126,0.0004227821,0.0002873027,0.002958513,0.0003717503,0.000540175,0.0005568229,0.0002360854,0.002172563],"category_scores_gemma":[0.02081451,0.0001526971,0.0002985328,0.00201821,0.0002018798,0.0005041146,0.0006120186,0.0004755489,0.000495241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000652754,"about_ca_system_score_gemma":0.001535532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005121224,"about_ca_topic_score_gemma":0.00647737,"domain_scores_codex":[0.9983089,0.0005407852,0.000414213,0.0001427561,0.0005152404,0.00007811342],"domain_scores_gemma":[0.9873278,0.003852648,0.004547941,0.0008535112,0.003043794,0.0003743258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001488791,0.0002746871,0.6641859,0.0003300844,0.00006745171,0.0003825214,0.001313062,0.003872649,0.002527971,0.00203221,0.02926508,0.2942595],"study_design_scores_gemma":[0.0003106046,0.001191243,0.9088451,0.0005357071,0.0001429124,0.001982397,0.001301953,0.01743691,0.008840606,0.001570865,0.05772986,0.000111899],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8363629,0.003490552,0.08928508,0.001502575,0.0003873198,0.002634641,0.03443092,0.004939093,0.02696682],"genre_scores_gemma":[0.8310358,0.001328939,0.1347944,0.0001779913,0.0001036429,0.002198137,0.02720794,0.0001883601,0.00296491],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005121224,"threshold_uncertainty_score":0.01603562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03134754225879106,"score_gpt":0.2914999123326472,"score_spread":0.2601523700738561,"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."}}