{"id":"W4386913763","doi":"10.3390/ijms241814388","title":"Evaluating the Utility of ctDNA in Detecting Residual Cancer and Predicting Recurrence in Patients with Serous Ovarian Cancer","year":2023,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Princess Margaret Cancer Centre; University of Toronto; University Health Network; McMaster University; Women's College Hospital","funders":"Peter Gilgan Foundation","keywords":"Ovarian cancer; Serous ovarian cancer; Serous fluid; Cancer; Oncology; Residual; Medicine; Internal medicine; Cancer recurrence; Computer science; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0007236728,0.0002668033,0.0002995812,0.0008636795,0.0002063668,0.0005555,0.0002519063,0.0004301319,0.0004700905],"category_scores_gemma":[0.004289235,0.000198174,0.000268973,0.0005510474,0.0003298708,0.0003531513,0.0002631819,0.0003634168,0.0001670182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002142092,"about_ca_system_score_gemma":0.0001521805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001752458,"about_ca_topic_score_gemma":0.002379369,"domain_scores_codex":[0.9996762,0.00009918132,0.00005096087,0.00005288561,0.00007024107,0.00005051532],"domain_scores_gemma":[0.998306,0.0008275891,0.0003716365,0.00009182171,0.0001683253,0.0002346427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001876371,0.00001115881,0.9976266,0.000005947424,0.00001002115,0.00008622752,0.0000466915,0.00005158041,0.0003089119,0.000003547523,0.00001803186,0.001643495],"study_design_scores_gemma":[0.00001603301,0.0006563227,0.9963845,0.000009750008,0.00004453863,0.0009479372,0.0002206916,0.0009731606,0.0005105987,0.00002084861,0.0002103817,0.00000518773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994253,0.0002981397,0.00006140526,0.00001863457,0.000003004402,0.000005132443,0.00004198851,0.000002460254,0.0001439268],"genre_scores_gemma":[0.9996616,0.00007644478,0.0001322796,0.00001411624,0.000006203969,0.00000296365,0.0000621915,8.738505e-7,0.00004342495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001752458,"threshold_uncertainty_score":0.003827214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03060490801518123,"score_gpt":0.3487133152723065,"score_spread":0.3181084072571252,"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."}}