{"id":"W3085809921","doi":"10.1002/path.5545","title":"Genomic analysis of low‐grade serous ovarian carcinoma to identify key drivers and therapeutic vulnerabilities","year":2020,"lang":"en","type":"article","venue":"The Journal of Pathology","topic":"Chromatin Remodeling and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Centre Hospitalier de l’Université de Montréal; University of British Columbia","funders":"National Health and Medical Research Council; Terry Fox Research Institute; Cancer Australia","keywords":"CDKN2A; KRAS; Neuroblastoma RAS viral oncogene homolog; Serous carcinoma; Biology; Exome sequencing; Deubiquitinating enzyme; Serous fluid; Cancer research; Targeted therapy; Exome; Ovarian cancer; Comparative genomic hybridization; Oncology; Medicine; Cancer; Mutation; Internal medicine; Gene; Genetics; Chromosome","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003192131,0.0000818249,0.0002448983,0.00006292164,0.00003948023,0.000006583118,0.0001894594,0.00006370962,0.00001515438],"category_scores_gemma":[0.00004067889,0.00005807608,0.0001156706,0.0001288728,0.00009459306,0.000001749424,0.00006486329,0.00009840228,8.260454e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001058157,"about_ca_system_score_gemma":0.00004859487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000194492,"about_ca_topic_score_gemma":0.00002013956,"domain_scores_codex":[0.9992536,0.0001808321,0.0002693039,0.0001061091,0.00008181037,0.0001082865],"domain_scores_gemma":[0.9994901,0.0000271272,0.0001752786,0.0001575056,0.00008339983,0.00006658298],"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":[0.0001413617,0.00001411568,0.008735383,0.00001640078,0.0003507595,0.00001215762,0.003289801,0.007807008,0.9788541,0.00001464377,0.00007420759,0.0006901309],"study_design_scores_gemma":[0.00332093,0.004482999,0.6331189,0.0000458063,0.005232234,0.001261617,0.009238535,0.008554596,0.3315186,0.0008540833,0.001699145,0.0006725428],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993852,0.001473568,0.003561466,0.0009628095,0.00006346736,0.00004740648,0.00001135052,0.000001695117,0.00002621598],"genre_scores_gemma":[0.9985536,0.000180888,0.0003242604,0.000803415,0.0001067791,6.462582e-7,0.000002508101,0.000008061545,0.00001985913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6473354,"threshold_uncertainty_score":0.2368274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01932652023255912,"score_gpt":0.2793099446144883,"score_spread":0.2599834243819292,"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."}}