{"id":"W2973985252","doi":"10.1016/j.ajog.2019.09.017","title":"Reply","year":2019,"lang":"en","type":"letter","venue":"American Journal of Obstetrics and Gynecology","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"Canadian Institutes of Health Research; American College of Surgeons","keywords":"Medicine; Hysterectomy; Laparoscopic hysterectomy; Radical Hysterectomy; General surgery; Learning curve; Robotic surgery; Scopus; Laparoscopy; MEDLINE; Gynecology; Surgery; Cancer; Management; Internal medicine; Cervical cancer","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":[0.004538001,0.001137363,0.001791115,0.001435199,0.009784264,0.008827065,0.002903949,0.115436,0.02202328],"category_scores_gemma":[0.0383135,0.001436919,0.002001969,0.001129221,0.003644753,0.004202551,0.004314342,0.05923565,0.01725639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00782919,"about_ca_system_score_gemma":0.01165853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01787691,"about_ca_topic_score_gemma":0.02318969,"domain_scores_codex":[0.9948364,0.0008961155,0.000554797,0.0007342832,0.001408969,0.00156939],"domain_scores_gemma":[0.9872611,0.005326264,0.001054972,0.0004129226,0.002733176,0.003211648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002229494,0.000009806946,0.0003324065,0.00002889159,0.00001083121,0.0007489089,0.0001348217,0.00002243798,0.00005435565,0.00117395,0.9957591,0.001702288],"study_design_scores_gemma":[0.00007788979,0.00003164123,0.001326725,0.0003332255,0.00004147413,0.001014187,0.0008791561,0.0001599647,0.0001656366,0.004544713,0.9913384,0.00008697334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0002408852,0.0006971886,0.00004319468,0.9543268,0.04087204,0.00001577004,0.00006476304,0.00002371527,0.003715647],"genre_scores_gemma":[0.001142179,0.0002704904,0.00004022836,0.9757951,0.01287339,0.00002972047,0.00002250645,0.00001342936,0.009813009],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.115436,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815306421050168,"score_gpt":0.275613981921388,"score_spread":0.2574609177108863,"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."}}