{"id":"W2123611729","doi":"10.1158/0008-5472.can-08-2223","title":"Genetic Predictors of MEK Dependence in Non–Small Cell Lung Cancer","year":2008,"lang":"en","type":"article","venue":"Cancer Research","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":254,"is_retracted":false,"has_abstract":true,"ca_institutions":"Immunovaccine (Canada)","funders":"U.S. Public Health Service; Chung Shan Medical University; National Cancer Institute; National Institutes of Health; Chiba University; Samuel Waxman Cancer Research Foundation","keywords":"KRAS; Cancer research; MAPK/ERK pathway; Lung cancer; Epidermal growth factor receptor; Kinase; MEK inhibitor; V600E; Tyrosine kinase; Biology; Receptor tyrosine kinase; Protein kinase domain; Cancer; Mutant; Medicine; Signal transduction; Internal medicine; Colorectal cancer; Cell biology; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001660825,0.0001102323,0.0002393837,0.0002754237,0.00009451492,0.000006004379,0.0001497104,0.00007415433,0.0005502622],"category_scores_gemma":[0.00003171319,0.0000928025,0.00005279601,0.0006245208,0.0001804451,0.0000509307,0.00005572315,0.0003112356,0.00001038984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006516629,"about_ca_system_score_gemma":0.001819351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01205139,"about_ca_topic_score_gemma":0.00290828,"domain_scores_codex":[0.9983979,0.00005810722,0.000243038,0.0003091987,0.0005563225,0.00043545],"domain_scores_gemma":[0.9990882,0.00007850932,0.00004556555,0.0002912067,0.0003189988,0.0001774873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001338404,0.0002126431,0.9742368,0.0003900567,0.00009882981,0.0002206822,0.003142509,0.0004115405,0.01548215,0.000007704755,0.003681751,0.001981462],"study_design_scores_gemma":[0.003268532,0.0002825058,0.9506505,0.000500504,0.000120043,0.0000185116,0.0003328867,0.0004863738,0.04211581,0.00002279741,0.002059713,0.0001418273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984579,0.0100955,0.00003544604,0.0002831557,0.0001599221,0.0008882418,0.00004192157,0.00001397345,0.003902806],"genre_scores_gemma":[0.9880795,0.005689839,0.0002977882,0.00005389571,0.0001702897,0.0007325984,0.000006039291,0.00002682937,0.00494322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02663366,"threshold_uncertainty_score":0.9945275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05397553162527113,"score_gpt":0.4196293516469179,"score_spread":0.3656538200216468,"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."}}