{"id":"W3112725910","doi":"10.1093/neuonc/noaa215.002","title":"BIOM-02. IDENTIFYING MGMT ALTERATIONS AS BIOMARKERS OF SURVIVAL IN LUNG ADENOCARCINOMA WITH BRAIN METASTASES","year":2020,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Queen's University; University Health Network","funders":"","keywords":"Oncology; Adenocarcinoma; Lung cancer; Methylation; Medicine; DNA methylation; Internal medicine; Proportional hazards model; Cohort; Survival analysis; Cancer; Confounding; Cancer research; Biology; Gene; 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":[0.0007874026,0.0003511014,0.0003999658,0.0007777968,0.0002181744,0.0006418374,0.0004312764,0.0003636852,0.003549344],"category_scores_gemma":[0.001553268,0.000257837,0.000462973,0.0008968465,0.0001261004,0.0001699215,0.0005716619,0.0004178687,0.001120014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003697445,"about_ca_system_score_gemma":0.0005019077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002262306,"about_ca_topic_score_gemma":0.0032647,"domain_scores_codex":[0.99964,0.0001109073,0.00002966037,0.0000941996,0.00007938366,0.00004588055],"domain_scores_gemma":[0.9992521,0.0001890711,0.0002475221,0.0000614119,0.0001036787,0.0001461778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002720376,0.0001176907,0.9547418,0.0001805598,0.0003474351,0.00008312734,0.00005557037,0.0008903063,0.01358545,0.0001381067,0.00185733,0.02528223],"study_design_scores_gemma":[0.0001004676,0.0005800003,0.9803696,0.00002121644,0.0002832017,0.0003849712,0.00006407347,0.006125439,0.006525452,0.0002886942,0.005245093,0.00001184061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808337,0.0018213,0.002498548,0.0002689908,0.00004248478,0.00006365616,0.01188025,0.0002155727,0.002375503],"genre_scores_gemma":[0.9822102,0.0003257101,0.002927273,0.00009837698,0.00003085569,0.0001355765,0.011239,0.00003432458,0.002998595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003549344,"threshold_uncertainty_score":0.01187372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03052627321491978,"score_gpt":0.3125680782667459,"score_spread":0.2820418050518261,"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."}}