{"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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005685329,0.000250488,0.001570939,0.0005473397,0.0002347323,0.00004207617,0.00014195,0.0007049674,0.0001764457],"category_scores_gemma":[0.006595955,0.0001798538,0.00006902205,0.000583956,0.0001619775,0.0000950056,0.00003285995,0.002632663,0.00001838471],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007267774,"about_ca_system_score_gemma":0.01988114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002087499,"about_ca_topic_score_gemma":0.008105643,"domain_scores_codex":[0.9966876,0.0003877405,0.0008254087,0.0005523645,0.0007093613,0.0008375205],"domain_scores_gemma":[0.9964753,0.0001269481,0.0006795293,0.000318958,0.000386795,0.002012511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002498327,0.00004062879,0.004527964,0.002009214,0.0001400169,0.0002015931,0.0004306079,2.362178e-8,2.511213e-9,0.00001615462,0.00617842,0.9864304],"study_design_scores_gemma":[0.0004791485,0.0003812587,0.01207288,0.006835941,0.00004445879,0.001236542,0.0002614474,7.144658e-7,4.632104e-8,0.000121793,0.978417,0.0001488],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001882864,0.9749571,0.000008231234,0.02174192,0.0002565662,0.000739482,0.00001673284,0.00003331679,0.0003637752],"genre_scores_gemma":[0.0001878856,0.9955969,0.0004360398,0.002513934,0.001098309,0.00004139833,0.00000880378,0.00002497225,0.00009176641],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9862816,"threshold_uncertainty_score":0.9996683,"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."}}