{"id":"W4404120336","doi":"10.1002/jso.27973","title":"Molecular Classification of Endometrial Cancers Using an Integrative DNA Sequencing Panel","year":2024,"lang":"en","type":"article","venue":"Journal of Surgical Oncology","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; Juravinski Cancer Centre; Sinai Health System; Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; University of Toronto; University Health Network","funders":"University of Toronto","keywords":"MLH1; Medicine; Endometrial cancer; Gene; DNA sequencing; Cancer; Oncology; DNA mismatch repair; Internal medicine; Computational biology; Genetics; Biology; Colorectal cancer","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0009477988,0.0003575861,0.0002497985,0.001650177,0.0002552297,0.0004386324,0.0004133376,0.0002938336,0.001096263],"category_scores_gemma":[0.001622885,0.0001195892,0.000210947,0.0007608649,0.0001969409,0.0001338705,0.0004778935,0.0002201915,0.0003275397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007797055,"about_ca_system_score_gemma":0.0006734604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01909255,"about_ca_topic_score_gemma":0.06100151,"domain_scores_codex":[0.999527,0.00008031147,0.0000616106,0.0001168512,0.0001472715,0.00006702881],"domain_scores_gemma":[0.9991129,0.0002288652,0.0001727793,0.00007367571,0.0003154014,0.00009629104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004378876,0.00003055216,0.8511604,0.0001209427,0.00009855569,0.0006696167,0.000369951,0.001271651,0.09211415,0.000134453,0.001335939,0.05225592],"study_design_scores_gemma":[0.00004035735,0.0002408695,0.9627761,0.00007537488,0.0001578233,0.002914815,0.0003046319,0.005779915,0.02108297,0.0001887099,0.006419761,0.00001879021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874062,0.0008501389,0.005437287,0.0001785286,0.00001344777,0.0001337519,0.002906021,0.0001151591,0.002959572],"genre_scores_gemma":[0.9804253,0.0005614919,0.01376904,0.00018152,0.00001686529,0.00007998586,0.004125119,0.00001582472,0.0008248649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01909255,"threshold_uncertainty_score":0.03796285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1211207552058253,"score_gpt":0.3975014388457191,"score_spread":0.2763806836398938,"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."}}