{"id":"W4415377343","doi":"10.3390/curroncol32100585","title":"Dynamic Monitoring of Recurrent Ovarian Cancer Using Serial ctDNA: A Real-World Case Series","year":2025,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; University of Washington","keywords":"Ovarian cancer; Biomarker; Liquid biopsy; Disease; Cancer; Personalized medicine; Precision medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005070152,0.0009581567,0.0006714,0.001585785,0.001388045,0.001334254,0.0007608667,0.002282539,0.0008732204],"category_scores_gemma":[0.004449151,0.0006676513,0.0006558686,0.001028029,0.001326237,0.0009272869,0.0009751181,0.001530462,0.0003956787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048733,"about_ca_system_score_gemma":0.0004880006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002224145,"about_ca_topic_score_gemma":0.002964549,"domain_scores_codex":[0.9992529,0.00009543669,0.0001131522,0.0002136426,0.0001757051,0.0001491617],"domain_scores_gemma":[0.9977363,0.0006452761,0.0005026973,0.0002730596,0.000211419,0.0006311602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0001330264,0.0001729809,0.1287348,0.0001053119,0.00004777133,0.8553637,0.0009366656,0.0003640929,0.00179538,0.0002347592,0.0009736526,0.01113781],"study_design_scores_gemma":[0.00001710642,0.0001565779,0.02549572,0.00002902367,0.00003455888,0.9706829,0.0003747474,0.0006519149,0.001045525,0.000166848,0.001319512,0.00002548399],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990415,0.00285386,0.002839559,0.00093412,0.00007777622,0.0001291643,0.0001872685,0.00006002885,0.002503105],"genre_scores_gemma":[0.9965981,0.0008869899,0.001532149,0.0003578009,0.0001529456,0.00001726432,0.0001219432,0.00002293725,0.000309952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002282539,"threshold_uncertainty_score":0.007609069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04814244822258375,"score_gpt":0.3999477319422045,"score_spread":0.3518052837196207,"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."}}