{"id":"W4205397379","doi":"10.1016/j.neo.2021.12.008","title":"RNA biomarkers from proximal liquid biopsy for diagnosis of ovarian cancer","year":2022,"lang":"en","type":"article","venue":"Neoplasia","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Bijzonder Onderzoeksfonds UGent; Universiteit Gent; Tel Aviv University; Israel Cancer Research Fund; Israel Science Foundation; Fonds De La Recherche Scientifique - FNRS; Kom op tegen Kanker; Israel Cancer Association; Fonds Wetenschappelijk Onderzoek","keywords":"Liquid biopsy; Ovarian cancer; RNA; RNA extraction; Biopsy; Oncology; Biomarker; Medicine; Internal medicine; microRNA; Cancer research; Biology; Pathology; Computational biology; Cancer; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004312178,0.0003293093,0.0003723417,0.001190171,0.000229765,0.000585967,0.000179058,0.0004633909,0.001946178],"category_scores_gemma":[0.001129417,0.0001341878,0.0002357365,0.0004847305,0.0002654757,0.0002123663,0.0003541675,0.0003301943,0.000840639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001597306,"about_ca_system_score_gemma":0.0002931802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002555073,"about_ca_topic_score_gemma":0.0004746887,"domain_scores_codex":[0.9995931,0.0001083969,0.00002639831,0.00007425292,0.0001644038,0.00003338437],"domain_scores_gemma":[0.9995595,0.0001701816,0.0001013754,0.00002774961,0.0001080616,0.0000331711],"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":[0.00103451,0.00006756734,0.06521528,0.0006578349,0.0001066237,0.0007184581,0.0001994979,0.0002724917,0.8683601,0.0002177395,0.001180321,0.06196946],"study_design_scores_gemma":[0.000125785,0.00176456,0.2404782,0.0005355809,0.0005963494,0.008343652,0.001400209,0.005793532,0.6938502,0.001953473,0.04509393,0.00006457865],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9190196,0.03447863,0.03572242,0.00101061,0.0003762001,0.0003491843,0.003711394,0.0004444838,0.004887506],"genre_scores_gemma":[0.9507897,0.007730933,0.03228715,0.00114395,0.0002848746,0.0003802864,0.004013057,0.0001069071,0.003263177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001946178,"threshold_uncertainty_score":0.006510615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002322177797796,"score_gpt":0.2836421762548822,"score_spread":0.2636189544769043,"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."}}