{"id":"W2983439350","doi":"10.1093/neuonc/noz175.231","title":"CMET-30. COMPREHENSIVE METHYLOME ANALYSIS OF EGFR-MUTANT PRIMARY LUNG ADENOCARCINOMA AND MATCHED BRAIN METASTASIS","year":2019,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"DNA methylation; Adenocarcinoma; Methylation; Biology; Cancer research; Lung cancer; Epigenetics; Metastasis; Lung; Brain metastasis; Pathology; Gene; Medicine; Cancer; Genetics; Internal medicine; 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":[0.0001349418,0.0001425909,0.0002561407,0.0004734613,0.0002046686,0.0001734919,0.0001514128,0.0001914718,0.001668876],"category_scores_gemma":[0.0002436455,0.00009110622,0.0001853593,0.0002761445,0.00009517184,0.00006537574,0.0002494434,0.0001769188,0.0002709228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002096781,"about_ca_system_score_gemma":0.0001623393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001929293,"about_ca_topic_score_gemma":0.003261927,"domain_scores_codex":[0.9998698,0.00001286969,0.000008382055,0.0000436515,0.00004033656,0.0000249651],"domain_scores_gemma":[0.9999074,0.00001136348,0.00002005192,0.00001060996,0.0000227319,0.00002782665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001318032,0.00005242089,0.1388511,0.00008016881,0.00007479243,0.0003018058,0.00009158622,0.0002666828,0.8436467,0.00005283707,0.0003956885,0.01486798],"study_design_scores_gemma":[0.00003254235,0.0006659228,0.8636615,0.000008343105,0.00009261935,0.002474424,0.000113374,0.002186462,0.128304,0.00008832323,0.002363938,0.000008612764],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965204,0.0003093039,0.0008610727,0.00002620247,0.000003822935,0.0000231571,0.001779357,0.00003469757,0.0004420792],"genre_scores_gemma":[0.9947296,0.00009543912,0.001132282,0.00002514156,0.000002452645,0.00003858097,0.003282308,0.00001044716,0.0006837823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001929293,"threshold_uncertainty_score":0.005582929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898871956096887,"score_gpt":0.3415605696622252,"score_spread":0.3225718501012563,"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."}}