{"id":"W2370068156","doi":"10.1038/jp.2016.82","title":"Optimal threshold for birth weight discordance: Does knowledge of chorionicity matter?","year":2016,"lang":"en","type":"article","venue":"Journal of Perinatology","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Receiver operating characteristic; Gestational age; Obstetrics; Confounding; Birth weight; Perinatal mortality; Population; Multivariate analysis; Statistics; Pregnancy; Fetus; Mathematics; Internal medicine","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":[0.01326009,0.0003857268,0.001792612,0.0008828839,0.0005443829,0.002312444,0.001406695,0.002521188,0.003897021],"category_scores_gemma":[0.1161547,0.0003779568,0.0008821019,0.0007606699,0.001168192,0.00343779,0.001183433,0.002387559,0.0005363285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009837947,"about_ca_system_score_gemma":0.002724734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00519988,"about_ca_topic_score_gemma":0.004245065,"domain_scores_codex":[0.9920946,0.004595878,0.0008915979,0.0008807094,0.0008706688,0.0006665073],"domain_scores_gemma":[0.9259679,0.06309418,0.005035698,0.00204175,0.001693596,0.002166836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005420822,0.001032064,0.8089305,0.0006882222,0.0009955486,0.001134142,0.001822788,0.00198102,0.001030488,0.006514789,0.007137274,0.1633123],"study_design_scores_gemma":[0.0005610486,0.001877176,0.9086718,0.003029725,0.001637504,0.003376635,0.004085699,0.01603954,0.001673659,0.05059697,0.008308157,0.0001421427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8872639,0.03584322,0.007918223,0.05412513,0.001301843,0.000101989,0.000916992,0.00008012978,0.01244862],"genre_scores_gemma":[0.9957391,0.001388206,0.001325839,0.001064355,0.0002024627,0.00002023873,0.00009744627,0.00002001485,0.0001423001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01326009,"threshold_uncertainty_score":0.07012695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213981867911902,"score_gpt":0.2932711598393395,"score_spread":0.2811313411602205,"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."}}