{"id":"W3030348163","doi":"10.3760/cma.j.issn.1004-4221.2017.09.012","title":"Risk factors for lower extremity lymphedema following treatment of gynecologic cancers: a meta-analysis","year":2017,"lang":"en","type":"article","venue":"Zhonghua fangshe zhongliuxue zazhi","topic":"Lymphatic System and Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Lymphedema; Meta-analysis; Odds ratio; Radiation therapy; Cochrane Library; Confidence interval; Dissection (medical); Stage (stratigraphy); Gynecologic cancer; Lymph node; Relative risk; Gynecology; Oncology; Internal medicine; Surgery; Cancer; Breast cancer; Ovarian cancer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004141854,0.0005888786,0.002935924,0.0002967796,0.0006506445,0.0001309285,0.0004324543,0.0002384863,0.0008002332],"category_scores_gemma":[0.001733052,0.0003853297,0.006477991,0.0003053263,0.0001829412,0.0002936029,0.00008173276,0.00001906743,0.00002563478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005644208,"about_ca_system_score_gemma":0.0004066519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003130825,"about_ca_topic_score_gemma":0.0005377433,"domain_scores_codex":[0.9969782,0.0001361039,0.0008464388,0.0008360856,0.0005748022,0.0006283405],"domain_scores_gemma":[0.9952865,0.0009014601,0.001083169,0.002045397,0.0002474816,0.000435943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0004801169,0.001486059,0.7669143,0.0002194882,0.2253348,0.0001825008,0.001278528,0.0002042927,0.0003403636,0.00006830907,0.001004173,0.002487004],"study_design_scores_gemma":[0.00818391,0.001259756,0.3052818,0.00004565894,0.6753148,0.000009698316,0.001549522,0.001109296,0.003478617,0.0002165792,0.002774852,0.0007755673],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871573,0.004133341,0.0009318154,0.0001940002,0.000793928,0.001844775,0.0008164935,0.0001284986,0.003999831],"genre_scores_gemma":[0.9937229,0.00009276545,0.0009451278,0.00007858176,0.0002291323,0.0004601829,0.0001341609,0.00005665984,0.00428048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4616325,"threshold_uncertainty_score":0.9998599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09703123518231759,"score_gpt":0.345864249949039,"score_spread":0.2488330147667214,"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."}}