{"id":"W2894898004","doi":"","title":"Obesity and Infertility: A Metabolic Assessment Strategy to Improve Pregnancy Rate.","year":2020,"lang":"en","type":"article","venue":"PubMed","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Pregnancy; Weight loss; Obstetrics; Obesity; Gynecology; Fertility; Pregnancy rate; Ovulation; Infertility; Body mass index; Internal medicine; Population; Biology; Hormone; Environmental health","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":[0.0008534839,0.0003939491,0.0002939983,0.0005786686,0.0002398236,0.0003238876,0.0001814793,0.0002737441,0.001857255],"category_scores_gemma":[0.001233464,0.00009029933,0.0002968809,0.0002934568,0.0001111453,0.0002576107,0.000345234,0.0004349994,0.0002171985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002448072,"about_ca_system_score_gemma":0.0005230966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006298891,"about_ca_topic_score_gemma":0.001758569,"domain_scores_codex":[0.9997947,0.0001072241,0.00001632585,0.00001807222,0.00004136489,0.00002232618],"domain_scores_gemma":[0.9997339,0.00005173527,0.000109883,0.000008991324,0.00003341014,0.00006208992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001752704,0.001234119,0.3985982,0.0007672957,0.0002602102,0.0005026963,0.000145064,0.0007755344,0.004459132,0.0004182665,0.005161254,0.5859256],"study_design_scores_gemma":[0.0003253261,0.00484818,0.9677233,0.001001869,0.0006651042,0.004223146,0.000494428,0.002495567,0.002837676,0.001101589,0.01424223,0.00004154701],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8800772,0.07113536,0.01027037,0.01234383,0.0006229778,0.0006534684,0.0006786364,0.0002621618,0.02395598],"genre_scores_gemma":[0.9746714,0.01110919,0.0100647,0.001462981,0.0003139255,0.0002162654,0.0003445579,0.00001565473,0.001801329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001857255,"threshold_uncertainty_score":0.006213129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04134310548786183,"score_gpt":0.2947760964898364,"score_spread":0.2534329910019746,"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."}}