{"id":"W4382363527","doi":"10.1158/1078-0432.ccr-22-3146","title":"Early Clearance of Plasma <i>Epidermal Growth Factor Receptor</i> Mutations as a Predictor of Outcome on Osimertinib in Advanced Non–Small Cell Lung Cancer; Exploratory Analysis from AURA3 and FLAURA","year":2023,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Osimertinib; Lung cancer; Erlotinib; Medicine; T790M; Gefitinib; Internal medicine; Oncology; Epidermal growth factor receptor; Tyrosine-kinase inhibitor; Confidence interval; Genotyping; Cancer; Genotype; Biology","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":[0.0007296104,0.0002184291,0.000965529,0.0006733413,0.0001024031,0.00001911957,0.0002148206,0.0001923364,0.0003303486],"category_scores_gemma":[0.0007525909,0.000187432,0.000268725,0.002406853,0.0003788786,0.0001488332,0.0001072272,0.0007296068,0.00002988949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002638791,"about_ca_system_score_gemma":0.0008279991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00641778,"about_ca_topic_score_gemma":0.001408668,"domain_scores_codex":[0.9964489,0.0003405977,0.001234053,0.0006954456,0.0007732345,0.0005077632],"domain_scores_gemma":[0.9963235,0.00200342,0.0003036302,0.0004566653,0.0005642827,0.0003485141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001904988,0.000428616,0.9862368,0.0002978,0.0008689191,0.00002962013,0.002634131,0.0003763505,0.002213378,0.00001909329,0.0004632052,0.004527135],"study_design_scores_gemma":[0.006259111,0.0009702265,0.9819222,0.0004764935,0.0006312671,1.464398e-7,0.0008230351,0.001677696,0.006773418,0.00006034795,0.0002374336,0.0001686115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951392,0.0009426451,0.00001263678,0.001190125,0.0002515508,0.001098671,0.001016533,0.00004260999,0.000305976],"genre_scores_gemma":[0.9956501,0.002321027,0.0002219016,0.0001300288,0.0001487347,0.0006559888,0.0001130921,0.00004453726,0.0007146539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005009111,"threshold_uncertainty_score":0.9701806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1159411974898816,"score_gpt":0.4822468623266429,"score_spread":0.3663056648367613,"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."}}