{"id":"W3017413818","doi":"10.1016/j.xcrm.2020.100007","title":"Clonal Evolution and Heterogeneity of Osimertinib Acquired Resistance Mechanisms in EGFR Mutant Lung Cancer","year":2020,"lang":"en","type":"article","venue":"Cell Reports Medicine","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":181,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"U.S. Food and Drug Administration; Clovis Oncology; Exelixis; National Cancer Institute; AbbVie; Takeda Pharmaceuticals U.S.A.; Spectrum Pharmaceuticals; Novartis; Novartis Pharmaceuticals Corporation; Celgene; AstraZeneca; Bristol-Myers Squibb; Eli Lilly and Company; Gilead Sciences; National Institutes of Health; Medtronic","keywords":"Osimertinib; KRAS; Cancer research; Lung cancer; Adenocarcinoma; Biology; Somatic evolution in cancer; Acquired resistance; Mutation; Gene duplication; Medicine; Cancer; Gene; Genetics; Pathology","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":[0.0001629005,0.0001435516,0.0004147583,0.00007150098,0.00003793223,0.000002416295,0.00002942858,0.00006364658,0.0001486915],"category_scores_gemma":[0.0001071691,0.0001093525,0.00004083577,0.0002497154,0.0001058227,0.00004930336,0.00002349166,0.00007454295,4.381176e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001867822,"about_ca_system_score_gemma":0.0002301323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003668751,"about_ca_topic_score_gemma":0.000126298,"domain_scores_codex":[0.9985721,0.00002433286,0.0005537245,0.000353653,0.0003170942,0.0001790587],"domain_scores_gemma":[0.9991806,0.00003026572,0.0002822508,0.000199014,0.0001022793,0.0002055914],"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":[0.0008282181,0.0003401897,0.2642905,0.001711995,0.0003008588,0.002685918,0.004944026,0.00007596848,0.7191469,0.0005117622,0.003647822,0.001515829],"study_design_scores_gemma":[0.01790315,0.001977231,0.5085255,0.004153575,0.003485489,0.0005035459,0.002270337,0.003512428,0.4450446,0.001749401,0.01010612,0.0007686503],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727982,0.01461638,0.002143657,0.006588321,0.0003109806,0.0007463112,0.00001306883,0.00004012179,0.00274292],"genre_scores_gemma":[0.9980165,0.0003176231,0.0004442822,0.0006089843,0.000125871,0.00004756196,0.00003470852,0.00001789332,0.0003865133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2741023,"threshold_uncertainty_score":0.4459264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0163834525365052,"score_gpt":0.3125931546704295,"score_spread":0.2962097021339243,"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."}}