{"id":"W2919621058","doi":"10.1016/j.ygyno.2019.02.028","title":"GOG 8020/210: Risk stratification of lymph node metastasis, disease progression and survival using single nucleotide polymorphisms in endometrial cancer: An NRG oncology/gynecologic oncology group study","year":2019,"lang":"en","type":"article","venue":"Gynecologic Oncology","topic":"Mechanisms of cancer metastasis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Center for Advancing Translational Sciences; University of California, San Francisco; National Cancer Institute; University of Washington; Amgen","keywords":"Single-nucleotide polymorphism; Medicine; Oncology; Endometrial cancer; Internal medicine; Hazard ratio; Gynecologic oncology; Odds ratio; Metastasis; Genotype; Cancer; Confidence interval; Biology; Gene; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003603027,0.0006326425,0.001651323,0.000503591,0.0002144418,0.00004159924,0.0007666697,0.0008937128,0.0004692863],"category_scores_gemma":[0.001480363,0.0005820189,0.0002218696,0.0006324379,0.0004904649,0.00006221122,0.0005893419,0.000488976,0.00001255991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166515,"about_ca_system_score_gemma":0.001437239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006232096,"about_ca_topic_score_gemma":0.003358376,"domain_scores_codex":[0.9915012,0.00388632,0.001452368,0.001722057,0.0004644309,0.0009736441],"domain_scores_gemma":[0.9956919,0.000891335,0.001657318,0.001023752,0.000277942,0.0004577686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004616007,0.008400249,0.2918002,0.00007293056,0.0004017169,0.0001458819,0.0002962802,0.0009911478,0.5074733,0.000176263,0.00004592091,0.1855801],"study_design_scores_gemma":[0.04680614,0.09182768,0.7494978,0.0001109913,0.002700901,0.0001002898,0.007618555,0.002396604,0.06930116,0.002330693,0.02433995,0.002969221],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910293,0.002177439,0.0003173581,0.0002916743,0.002251973,0.002874547,0.0002682333,0.00005448352,0.0007350021],"genre_scores_gemma":[0.9893395,0.001107794,0.008169576,0.0002597577,0.0003314851,0.0004854993,0.0002005541,0.0000690122,0.00003681699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4576977,"threshold_uncertainty_score":0.9996631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03873873871554044,"score_gpt":0.3464759800099057,"score_spread":0.3077372412943652,"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."}}