{"id":"W4309659724","doi":"10.1111/aogs.14485","title":"Impact of maternal body mass index and gestational weight gain on maternal and neonatal outcomes in twin pregnancies","year":2022,"lang":"en","type":"article","venue":"Acta Obstetricia Et Gynecologica Scandinavica","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Lethbridge","funders":"","keywords":"Medicine; Weight gain; Obstetrics; Body mass index; Pregnancy; Apgar score; Gestational age; Gestation; Population; Birth weight; Neonatal intensive care unit; Mass index; Pediatrics; Internal medicine; Body weight","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001930703,0.0003709098,0.0004125214,0.0008545312,0.0002988957,0.0008341284,0.0003837239,0.0002626006,0.0009768226],"category_scores_gemma":[0.006800835,0.0002532235,0.0008560503,0.0009979915,0.0003813941,0.0003829581,0.0008013498,0.0005465119,0.0001119365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003493746,"about_ca_system_score_gemma":0.0004666659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005827281,"about_ca_topic_score_gemma":0.006170997,"domain_scores_codex":[0.9989771,0.0004494142,0.00009483648,0.0002044149,0.0001728784,0.000101429],"domain_scores_gemma":[0.9961812,0.00137477,0.001570901,0.0003486668,0.0001912885,0.0003331471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001228678,0.000005915441,0.9985728,0.00000904415,0.0001403497,0.00004894917,0.00002806222,0.00007557783,0.00008303626,0.00001810772,0.00001653233,0.000878643],"study_design_scores_gemma":[0.000003186012,0.00006207155,0.9983075,0.00001806476,0.0002010595,0.0003609611,0.00007005104,0.0006961898,0.0001137101,0.00007463605,0.0000888034,0.000003731303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980608,0.001085156,0.0002694481,0.00005786189,0.00001099519,0.000003311327,0.000235603,0.00000352251,0.0002733785],"genre_scores_gemma":[0.9993603,0.0003060653,0.0001345347,0.000007181893,0.000006154193,0.000002791685,0.0001242,0.000002161679,0.00005654969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005827281,"threshold_uncertainty_score":0.01158673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471382245226348,"score_gpt":0.299018486874636,"score_spread":0.2843046644223725,"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."}}