{"id":"W2990030135","doi":"10.1007/s00261-017-1205-5","title":"Erratum to: Fertility-sparing for young patients with gynecologic cancer: How MRI can guide patient selection prior to conservative management","year":2017,"lang":"en","type":"erratum","venue":"Abdominal Radiology","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Readability; Selection (genetic algorithm); Hepatology; Medical physics; General surgery; Missing data; Gynecology; Internal medicine; Artificial intelligence; Computer science; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002427416,0.001316071,0.001264288,0.002441384,0.002120721,0.0020726,0.001520849,0.0103471,0.01443885],"category_scores_gemma":[0.03985289,0.0009534368,0.001230045,0.001289792,0.001482323,0.002092066,0.001230881,0.01195092,0.01271125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002868901,"about_ca_system_score_gemma":0.004450008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008612412,"about_ca_topic_score_gemma":0.01604853,"domain_scores_codex":[0.9978155,0.0004359467,0.0005498913,0.0001756124,0.0007882232,0.0002347427],"domain_scores_gemma":[0.9834013,0.005758293,0.001458507,0.0004779633,0.00769807,0.001205874],"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":[0.00001662474,0.00001120285,0.0002337579,0.00006644885,0.00000591489,0.001473779,0.00001696973,0.00004831073,0.00002390423,0.0002847555,0.9914289,0.006389313],"study_design_scores_gemma":[0.00006586407,0.00004202957,0.001226007,0.00101935,0.00005258177,0.004599523,0.0001699148,0.0003236482,0.0002183367,0.001151691,0.9910905,0.00004047916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00036561,0.003222918,0.000395738,0.2474658,0.7406597,0.00004299325,0.0002703991,0.0000984253,0.007478446],"genre_scores_gemma":[0.008218247,0.01511761,0.002769894,0.3188466,0.5928115,0.0001174745,0.0006729273,0.0003492429,0.06109647],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01443885,"threshold_uncertainty_score":0.04830271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572376858877359,"score_gpt":0.2851193969402612,"score_spread":0.2693956283514876,"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."}}