{"id":"W2781551994","doi":"10.1016/j.ajog.2017.11.342","title":"809: Gestational weight gain in twin pregnancies modeled as a function of gestational age and pre-pregnancy body mass index","year":2018,"lang":"en","type":"article","venue":"American Journal of Obstetrics and Gynecology","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Children's Hospital of Eastern Ontario; St. Michael's Hospital; Health Sciences Centre; McMaster University; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Weight gain; Pregnancy; Obstetrics; Gestation; Hazard ratio; Body mass index; Underweight; Proportional hazards model; Gestational age; Confidence interval; Overweight; Gynecology; 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":[0.001681768,0.0005142917,0.000740283,0.0004036376,0.0003151886,0.001069611,0.001296312,0.001509682,0.006143444],"category_scores_gemma":[0.006478686,0.000645676,0.001856788,0.0006276838,0.0004880185,0.000622192,0.000674951,0.001720976,0.001062226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000665755,"about_ca_system_score_gemma":0.0009918682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04497453,"about_ca_topic_score_gemma":0.01809709,"domain_scores_codex":[0.9996836,0.0001168684,0.00001496591,0.00007889021,0.00002308956,0.00008250782],"domain_scores_gemma":[0.9970509,0.002017178,0.0003073957,0.0002002568,0.0001610634,0.0002632125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005920317,0.0007038221,0.305159,0.0001754935,0.001554587,0.001562848,0.0003374098,0.6602489,0.002115081,0.00700401,0.003392244,0.01182631],"study_design_scores_gemma":[0.0002269534,0.0003749212,0.06164943,0.00005872315,0.0005061298,0.0005133877,0.0001833696,0.9329734,0.0003190933,0.002177689,0.000964969,0.00005177809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924597,0.0002836902,0.00400138,0.0003936002,0.0000805732,0.00001341279,0.001356205,0.00006887664,0.001342578],"genre_scores_gemma":[0.9953105,0.0001310848,0.0006397088,0.00004462333,0.00002085924,0.00002000568,0.0008850283,0.00003537986,0.002912687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04497453,"threshold_uncertainty_score":0.0894255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158349119506063,"score_gpt":0.2758871393113276,"score_spread":0.2643036481162669,"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."}}