{"id":"W4403486661","doi":"10.1158/1078-0432.ccr-24-2105","title":"Genomic Landscape of ctDNA and Real-World Outcomes in Advanced Endometrial Cancer","year":2024,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"KRAS; PTEN; Medicine; Oncology; Internal medicine; Mutation; Cancer; ARID1A; Endometrial cancer; Cohort; Germline mutation; Retrospective cohort study; Cancer research; Gene; Colorectal cancer; Genetics; Biology","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":[0.001346563,0.0001241231,0.0003502676,0.0002728734,0.00003748671,0.00004228894,0.0002219569,0.0001403016,0.0001286267],"category_scores_gemma":[0.0006941044,0.0001090614,0.0001181877,0.0004553979,0.0002553565,0.000004519596,0.0003040772,0.0003604832,0.00000559575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006839039,"about_ca_system_score_gemma":0.0006637157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002519866,"about_ca_topic_score_gemma":0.0112657,"domain_scores_codex":[0.9982134,0.0001432217,0.0005190076,0.0005348835,0.0002294189,0.0003600928],"domain_scores_gemma":[0.9985592,0.0008250516,0.00004975504,0.0003082654,0.0001196243,0.0001381288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009416572,0.0001135949,0.8815955,0.0001491515,0.0001382895,0.00001897838,0.00005142505,0.0001235163,0.04066578,0.0005253173,0.004876618,0.0708002],"study_design_scores_gemma":[0.005062689,0.001133093,0.7748715,0.0002758635,0.00004942893,0.000001647016,0.0001078336,0.0003360838,0.01715013,0.0009274186,0.1996348,0.0004495318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974355,0.0223805,0.000006843872,0.0007378186,0.00075807,0.0003169628,0.0001953263,0.000007122354,0.001242338],"genre_scores_gemma":[0.9286548,0.06911144,0.00008400439,0.00008866459,0.0006882693,0.0001390289,0.00001928006,0.00002882476,0.001185606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1947582,"threshold_uncertainty_score":0.6286524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1055919624400748,"score_gpt":0.5011542992905622,"score_spread":0.3955623368504874,"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."}}