{"id":"W4387746099","doi":"10.1016/j.cllc.2023.10.006","title":"Clinical, Genomic, and Transcriptomic Featurses of Lung Adenocarcinoma With Uncommon EGFR Mutation","year":2023,"lang":"en","type":"article","venue":"Clinical Lung Cancer","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Aging","funders":"","keywords":"Medicine; Adenocarcinoma; Hazard ratio; Oncology; Transcriptome; Epidermal growth factor receptor; Lung cancer; Internal medicine; Mutation; Proportional hazards model; Cancer; Gene; Confidence interval; Biology; Genetics; Gene expression","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":[0.0003727953,0.0001813713,0.0006184058,0.00009938469,0.00008250432,0.00001678802,0.00008042005,0.0001656812,0.0001322875],"category_scores_gemma":[0.00007327347,0.0001330025,0.0001861992,0.0003042442,0.0003096747,0.0000855265,0.00002695554,0.0002808322,0.00001111084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001265703,"about_ca_system_score_gemma":0.0004566612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002021699,"about_ca_topic_score_gemma":0.0002296072,"domain_scores_codex":[0.9982342,0.00009530461,0.0007593399,0.0004593885,0.0002031578,0.0002485818],"domain_scores_gemma":[0.9986486,0.0004493573,0.0002209454,0.0003161282,0.0001387201,0.0002262795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007044957,0.0001792852,0.969362,0.0002587984,0.0008591691,0.00005889104,0.000326149,0.00003328588,0.0001117816,0.00008797825,0.009750232,0.01826795],"study_design_scores_gemma":[0.005435837,0.0007750922,0.9873751,0.0003430606,0.002029515,0.000015825,0.0001696579,0.001460062,0.00006443632,0.0000472237,0.002134352,0.000149816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882811,0.006553261,0.00006469659,0.002317087,0.0006706549,0.0008341853,0.00008397381,0.0001078993,0.00108717],"genre_scores_gemma":[0.9930765,0.003372864,0.0005007951,0.0006151727,0.0003727091,0.0001115659,0.0001012895,0.00004444893,0.001804663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01811813,"threshold_uncertainty_score":0.5423685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04045872465736925,"score_gpt":0.4408475566299222,"score_spread":0.4003888319725529,"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."}}