{"id":"W2745512715","doi":"10.18632/oncotarget.20534","title":"Combined targeting of Raf and Mek synergistically inhibits tumorigenesis in triple negative breast cancer model systems","year":2017,"lang":"en","type":"article","venue":"Oncotarget","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Terry Fox Foundation","keywords":"Triple-negative breast cancer; MAPK/ERK pathway; Cancer research; Erlotinib; Lapatinib; MEK inhibitor; Epidermal growth factor receptor; Breast cancer; Medicine; Cancer; Receptor tyrosine kinase; Carcinogenesis; EGFR inhibitors; Kinase; Biology; Internal medicine; Receptor; Cell biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002371215,0.0001592451,0.0002981023,0.00003646726,0.0001232974,0.00003409473,0.0001946514,0.0001233277,0.000008656055],"category_scores_gemma":[0.0001645085,0.0001449289,0.00004688,0.00003194519,0.0001169859,0.000009104928,0.0001463438,0.00007265528,0.000001407978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001920352,"about_ca_system_score_gemma":0.0001410994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008624786,"about_ca_topic_score_gemma":0.000165442,"domain_scores_codex":[0.998978,0.00005192852,0.0002939151,0.0003167139,0.0001207535,0.0002386406],"domain_scores_gemma":[0.9992338,0.00001600048,0.000219914,0.0003142286,0.0001175465,0.00009849943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003340339,0.000099336,0.03979801,0.0001318784,0.00004792548,0.000011715,0.0001296329,0.001148048,0.9556879,0.0009770119,0.001453527,0.0001809658],"study_design_scores_gemma":[0.007727142,0.0006650368,0.1447674,0.0004400512,0.000104102,0.00002903881,0.0003915195,0.06519002,0.7770883,0.0009479231,0.001526083,0.00112332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968161,0.0005364413,0.000482894,0.0001303416,0.0002297355,0.0002186194,0.0002459624,0.000006343982,0.001333537],"genre_scores_gemma":[0.9982599,0.0002560143,0.0006640971,0.0000304796,0.0001300711,0.00004589765,0.00004377462,0.00002054222,0.0005492207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1785996,"threshold_uncertainty_score":0.5910029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012358972104898,"score_gpt":0.2579569937641509,"score_spread":0.2455980216592529,"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."}}