{"id":"W2808112646","doi":"10.1503/cmaj.171233","title":"Optimizing reproductive health in women with obesity and infertility","year":2018,"lang":"en","type":"review","venue":"Canadian Medical Association Journal","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Faculty of Medicine and Health, University of Sydney; Université de Sherbrooke","keywords":"Infertility; Reproductive health; Pregnancy; Assisted reproductive technology; Medicine; Sexual intercourse; Gynecology; Obstetrics; Environmental health; Biology; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0006297033,0.0005809571,0.0009601553,0.001681424,0.0003488012,0.0007463337,0.0006328072,0.001179029,0.004109736],"category_scores_gemma":[0.002281123,0.0001408449,0.0005282069,0.001313763,0.0004431285,0.0006233684,0.0006018752,0.001541481,0.0003982998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007496511,"about_ca_system_score_gemma":0.002332292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00951478,"about_ca_topic_score_gemma":0.01888426,"domain_scores_codex":[0.9996638,0.00009452663,0.00004066257,0.00003378948,0.0001320504,0.0000352408],"domain_scores_gemma":[0.999398,0.0003883727,0.00007969444,0.000008424907,0.00009213875,0.0000334442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00006239517,0.00005354765,0.0004828038,0.03051723,0.0001794149,0.0001425776,0.0001130032,0.0001518147,0.0001746583,0.002996392,0.03073316,0.9343929],"study_design_scores_gemma":[0.0001100592,0.0001694506,0.008546805,0.1138584,0.0007399613,0.003702113,0.000556034,0.0002179357,0.0002536028,0.004927285,0.866872,0.00004627419],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008056681,0.9987015,0.00002584281,0.0006011741,0.0001090689,0.000003490147,0.000008592982,0.000001928724,0.0004678623],"genre_scores_gemma":[0.001403529,0.9976054,0.0001280986,0.0004227248,0.0002216002,0.000005760251,0.00001653129,8.319904e-7,0.0001955153],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00951478,"threshold_uncertainty_score":0.01891881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02985565241187908,"score_gpt":0.3304140908941832,"score_spread":0.3005584384823041,"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."}}