{"id":"W2157282974","doi":"10.1158/1078-0432.ccr-07-0901","title":"Use of Preoperative Plasma Endoglin for Prediction of Lymph Node Metastasis in Patients with Clinically Localized Prostate Cancer","year":2008,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Center for Research Resources","keywords":"Medicine; Nomogram; Endoglin; Prostatectomy; Prostate cancer; Lymph node; Confidence interval; Metastasis; Odds ratio; Stage (stratigraphy); Lymphadenectomy; Urology; Biochemical recurrence; Radiology; Cancer; Oncology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001371944,0.0002034103,0.001014833,0.000202463,0.00008143359,0.000009838879,0.0001347911,0.0001620374,0.0001175331],"category_scores_gemma":[0.001256224,0.0001403831,0.0002107725,0.0005631497,0.0009047638,0.0001661852,0.00008581451,0.0004124773,0.000002102904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004046674,"about_ca_system_score_gemma":0.001832971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001503496,"about_ca_topic_score_gemma":0.0002068317,"domain_scores_codex":[0.9960383,0.0004099632,0.001516691,0.0006363864,0.0009025282,0.0004961344],"domain_scores_gemma":[0.9949026,0.00203502,0.0003339772,0.0004459665,0.002020598,0.0002618824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03271316,0.002869725,0.9470922,0.0003348026,0.0005121763,0.00001408915,0.000360519,0.0004030089,0.00002953435,0.00001328172,0.0009776549,0.01467985],"study_design_scores_gemma":[0.02519007,0.007563831,0.9596863,0.001010445,0.000185643,7.104048e-7,0.00005029913,0.0006082819,0.004332983,0.00001975196,0.001234423,0.0001172619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920179,0.0005581414,0.00003492328,0.0006376386,0.0001391864,0.00349158,0.003063919,0.00001464823,0.00004202277],"genre_scores_gemma":[0.985468,0.009431719,0.001842244,0.000135235,0.00009194067,0.002593967,0.0001567238,0.00004439523,0.0002357876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01456259,"threshold_uncertainty_score":0.5724656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2588083980748202,"score_gpt":0.4676495572714807,"score_spread":0.2088411591966605,"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."}}