{"id":"W3142040693","doi":"10.1002/ijc.33583","title":"The genomic landscape of young and old lung cancer patients highlights age‐dependent mutation frequencies and clinical actionability in young patients","year":2021,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Power Generation","funders":"National Natural Science Foundation of China","keywords":"CDKN2A; KRAS; ROS1; Adenocarcinoma; Lung cancer; Medicine; Oncology; Internal medicine; Young adult; Exon; Cancer; Adenocarcinoma of the lung; Cancer research; Genetics; Biology; Gene; Colorectal cancer","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":[0.0001807871,0.0001081969,0.0002298841,0.0005543082,0.0001939003,0.0003527719,0.0001050511,0.0002022999,0.001183941],"category_scores_gemma":[0.0007745163,0.00008103452,0.0001770126,0.0004009213,0.0001466586,0.0002841419,0.0002268095,0.0001641615,0.0002137987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001118624,"about_ca_system_score_gemma":0.0001048417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009235166,"about_ca_topic_score_gemma":0.001368633,"domain_scores_codex":[0.9998599,0.00002135013,0.00001684932,0.00004445402,0.00002136759,0.00003608091],"domain_scores_gemma":[0.9995499,0.00008969942,0.0001895864,0.00002020301,0.00004629973,0.0001042383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001692172,0.00001116832,0.993169,0.00001119656,0.00001681011,0.0003043165,0.0001028455,0.00003120427,0.00192325,0.00002925683,0.00005548732,0.004176154],"study_design_scores_gemma":[0.000001713875,0.0001017656,0.9981903,0.000003385343,0.00001281376,0.0009073457,0.0001831898,0.0000699411,0.0002010269,0.00003929744,0.0002869907,0.000002260732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988304,0.0005257219,0.00009229602,0.00001721964,0.000002427327,0.000002724013,0.0002025645,0.00000303874,0.0003237386],"genre_scores_gemma":[0.9994474,0.0001385471,0.00006355678,0.00001706233,0.000005423466,0.000002780564,0.0002064935,0.000001688137,0.0001168673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001183941,"threshold_uncertainty_score":0.003960609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109282658153021,"score_gpt":0.3585629371015031,"score_spread":0.3474701105199729,"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."}}