{"id":"W4393204492","doi":"10.1016/j.jtocrr.2024.100669","title":"Characteristics of Long-Term Survivors With EGFR-Mutant Metastatic NSCLC","year":2024,"lang":"en","type":"article","venue":"JTO Clinical and Research Reports","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Daiichi Sankyo Europe; Gilead Sciences; National Cancer Institute; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Sanofi Genzyme; AstraZeneca Korea; EMD Serono; Genentech; Daiichi-Sankyo; G1 Therapeutics; BeiGene; Mirati Therapeutics; AstraZeneca; Novocure; Regeneron Pharmaceuticals; Sanofi; Amgen; American Association for Cancer Research; Eli Lilly and Company; Bristol-Myers Squibb; Seagen; LUNGevity Foundation; Pfizer","keywords":"Osimertinib; Oncology; Medicine; Retrospective cohort study; Cohort; Internal medicine; Mutant; Term (time); Cancer; Epidermal growth factor receptor; Biology; Genetics; Gene; Erlotinib","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001843322,0.00009712295,0.0003776141,0.0001207869,0.00006730251,0.0000460365,0.00003047022,0.00005611594,0.000116508],"category_scores_gemma":[0.0005513293,0.00005298409,0.00008951641,0.000275555,0.0004503751,0.00005682743,0.00004883955,0.0003588843,0.000009171876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000038648,"about_ca_system_score_gemma":0.0006927646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001776327,"about_ca_topic_score_gemma":0.00007179462,"domain_scores_codex":[0.9979899,0.0001066542,0.0006277846,0.0003531809,0.0006886825,0.0002337814],"domain_scores_gemma":[0.9984309,0.0005447527,0.00007907847,0.0002882827,0.0003930368,0.0002639262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000284493,0.0006269795,0.8799102,0.001055627,0.0008261463,0.02504409,0.0002620016,1.441459e-7,0.0001735409,0.0002389076,0.0005387419,0.09103908],"study_design_scores_gemma":[0.0006412545,0.001657818,0.9887511,0.001056403,0.0004798061,0.001373583,0.00007715212,0.00004724607,0.0002417464,0.000318976,0.005256878,0.00009808042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942521,0.001156525,0.00009033028,0.001530055,0.0002623698,0.0004901808,0.00001754824,0.00003231033,0.00216858],"genre_scores_gemma":[0.9950751,0.001101663,0.0002052226,0.00004025646,0.0001519631,0.00003344049,0.00003829913,0.00001910348,0.003334938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1088408,"threshold_uncertainty_score":0.2160629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1094563096629582,"score_gpt":0.5031910424772752,"score_spread":0.3937347328143169,"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."}}