{"id":"W4220663300","doi":"10.1007/s43032-022-00928-9","title":"Black–White Inequality in Outcomes of In Vitro Fertilization: a Systematic Review and Meta-analysis","year":2022,"lang":"en","type":"review","venue":"Reproductive Sciences","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; McGill University; Institut National de Santé Publique du Québec","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Medicine; Meta-analysis; Odds ratio; In vitro fertilisation; Pregnancy; Live birth; Obstetrics; Confidence interval; Cochrane Library; Abortion; Publication bias; Observational study; Gynecology; Internal medicine; Biology","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":[0.01085125,0.002402046,0.01361028,0.003266602,0.0006295005,0.002976268,0.001882397,0.00249959,0.003719347],"category_scores_gemma":[0.03155705,0.001507664,0.03151594,0.00586889,0.0008926607,0.002010439,0.002439971,0.002548761,0.0002791218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001573165,"about_ca_system_score_gemma":0.002517382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01115084,"about_ca_topic_score_gemma":0.02545173,"domain_scores_codex":[0.9902013,0.003908395,0.003034027,0.001560143,0.0008269133,0.0004693353],"domain_scores_gemma":[0.9807966,0.01434501,0.003055721,0.0006825369,0.0008885572,0.0002315989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002200166,0.0000394575,0.02414236,0.1829252,0.7756545,0.0001456573,0.0001390314,0.0002899913,0.0001473855,0.0001785192,0.0006528607,0.01348492],"study_design_scores_gemma":[0.0004667405,0.0001084428,0.01251993,0.01061611,0.9748527,0.00007480222,0.00008408853,0.0001286494,0.0000473081,0.0002198667,0.0008527758,0.00002848678],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008922829,0.9896861,0.0004266053,0.0001331302,0.0001357734,0.00007576976,0.0004353155,0.00001258735,0.000171919],"genre_scores_gemma":[0.3787919,0.6157894,0.002060396,0.001353377,0.0003872009,0.0003764293,0.000891538,0.00003557252,0.0003141625],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01361028,"threshold_uncertainty_score":0.05738759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3067526641447774,"score_gpt":0.4621879290458976,"score_spread":0.1554352649011202,"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."}}