{"id":"W2951831058","doi":"10.1101/116434","title":"Maternal and fetal genetic contribution to gestational weight gain","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Birth, Development, and Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Centre Hospitalier Universitaire de Sherbrooke","funders":"European Commission; Nestec; Wellcome Trust; Medical Research Council; Danone","keywords":"Offspring; Fetus; Pregnancy; Weight gain; Biology; Placenta; Gestational diabetes; Amniotic fluid; Obstetrics; Endocrinology; Genetics; Physiology; Gestation; 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":[0.000987599,0.0005868809,0.0004136953,0.0009725939,0.0003177426,0.0006071635,0.0004793178,0.0004911906,0.003570036],"category_scores_gemma":[0.004924193,0.0002163191,0.0007555075,0.001278288,0.0005036876,0.0002202766,0.0005980674,0.0007770449,0.0002381788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002611425,"about_ca_system_score_gemma":0.0002969401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005845375,"about_ca_topic_score_gemma":0.002504931,"domain_scores_codex":[0.9987827,0.0003861894,0.000095227,0.0004192748,0.0001913507,0.0001252111],"domain_scores_gemma":[0.9972637,0.001556285,0.0005720252,0.0003197653,0.0001418243,0.0001463367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009069917,0.00003942829,0.9643775,0.000125068,0.001321445,0.001157265,0.0002448356,0.0005817576,0.009126402,0.001079237,0.0003328878,0.02070702],"study_design_scores_gemma":[0.00001518376,0.00009619112,0.9934372,0.00004627619,0.0004699898,0.001550716,0.00007086948,0.001024699,0.001098191,0.001195277,0.00098334,0.00001206727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864624,0.003616645,0.004929168,0.000405137,0.00007785109,0.00002459368,0.002106367,0.0000652879,0.002312669],"genre_scores_gemma":[0.9974912,0.0005352509,0.001111509,0.00004185075,0.00002950462,0.00001308097,0.0003879225,0.00001264682,0.0003769636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005845375,"threshold_uncertainty_score":0.01194298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593452102507709,"score_gpt":0.2580402499221135,"score_spread":0.2421057288970364,"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."}}