{"id":"W4361809511","doi":"10.1158/0008-5472.c.6513021","title":"Data from Multiomics Characterization of Low-Grade Serous Ovarian Carcinoma Identifies Potential Biomarkers of MEK Inhibitor Sensitivity and Therapeutic Vulnerability","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ovarian Cancer Canada; Canada's Michael Smith Genome Sciences Centre; London Health Sciences Centre; BC Cancer Agency; University of British Columbia","funders":"Canadian Institutes of Health Research; Terry Fox Research Institute","keywords":"KRAS; Cancer research; CDKN2A; Selumetinib; Neuroblastoma RAS viral oncogene homolog; Targeted therapy; MEK inhibitor; Synthetic lethality; Medicine; Biology; Cancer; Mutation; Gene; Internal medicine; Kinase; MAPK/ERK pathway; Genetics; Mutant","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":[0.0002295564,0.0002837667,0.0002796172,0.001034409,0.0001626224,0.0004840682,0.0001186635,0.0002255767,0.0006629748],"category_scores_gemma":[0.0003959328,0.0001169981,0.0002976581,0.0006209651,0.0001458556,0.0002181297,0.0003123152,0.0002708275,0.0002605685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001733632,"about_ca_system_score_gemma":0.0001378398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006328072,"about_ca_topic_score_gemma":0.001042193,"domain_scores_codex":[0.9998597,0.00001523864,0.00001446933,0.00003866727,0.00005244285,0.00001954215],"domain_scores_gemma":[0.9997478,0.0000523828,0.00007752293,0.00003280549,0.00005877331,0.00003077717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004371022,0.00004634724,0.07183495,0.0001615877,0.0001037901,0.00024873,0.00008683894,0.0005358491,0.913914,0.00007907439,0.0002939074,0.01225789],"study_design_scores_gemma":[0.00001865237,0.0003700917,0.5863202,0.0000242218,0.0002162053,0.002105668,0.0002803366,0.006057442,0.3994959,0.0002803193,0.004803163,0.00002780192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9915745,0.0008225914,0.002937069,0.00006494066,0.000008476156,0.00002232028,0.003745306,0.00007195429,0.0007528766],"genre_scores_gemma":[0.9900109,0.0006464114,0.003547707,0.00007101557,0.00000703203,0.00003901574,0.005182889,0.00002820026,0.000466752],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.001034409,"threshold_uncertainty_score":0.002217889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06591477514916318,"score_gpt":0.308639348551596,"score_spread":0.2427245734024329,"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."}}