{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001925168,0.0001919191,0.000234712,0.0008352762,0.0003699397,0.0005605142,0.0001872082,0.0003817076,0.001944615],"category_scores_gemma":[0.001040547,0.0001174938,0.0001911869,0.0007487008,0.0003566393,0.000302526,0.0003367091,0.0002923311,0.000208867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003058299,"about_ca_system_score_gemma":0.0001997876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00140202,"about_ca_topic_score_gemma":0.002706672,"domain_scores_codex":[0.999755,0.00003165435,0.00002678989,0.0000616387,0.00005619385,0.00006863008],"domain_scores_gemma":[0.9996408,0.000117575,0.0001082566,0.00002546174,0.00005925172,0.00004869514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001314099,0.00005121304,0.9320183,0.00007978666,0.0000947304,0.005811209,0.0001812496,0.0003579134,0.04101878,0.00037475,0.0007282968,0.01796976],"study_design_scores_gemma":[0.00001069729,0.0001718475,0.9822208,0.00001986468,0.00008775196,0.008204668,0.000664118,0.000888284,0.005021051,0.000578156,0.00212198,0.00001061879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951168,0.001009068,0.0003697702,0.0002548322,0.00001811689,0.00001491361,0.001013821,0.00001744682,0.002185185],"genre_scores_gemma":[0.9985506,0.0002023615,0.0001851237,0.00008418723,0.00001837021,0.000007806884,0.0006052342,0.00000482683,0.0003414747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001944615,"threshold_uncertainty_score":0.006505311,"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."}}