{"id":"W4400039809","doi":"10.1158/2159-8290.cd-23-1212","title":"The N6-methyladenosine Epitranscriptomic Landscape of Lung Adenocarcinoma","year":2024,"lang":"en","type":"article","venue":"Cancer Discovery","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Vector Institute; Ontario Institute for Cancer Research; University Health Network; University of Toronto; Princess Margaret Cancer Centre","funders":"Canadian Institutes of Health Research; Terry Fox Research Institute; Canada Foundation for Innovation; Canadian Cancer Society; Natural Sciences and Engineering Research Council of Canada; Princess Margaret Cancer Foundation","keywords":"Biology; Transcriptome; Adenocarcinoma; Cancer research; Metastasis; N6-Methyladenosine; Methylation; Proteome; Vimentin; Gene; Methyltransferase; Cancer; Bioinformatics; Gene expression; Genetics; Immunology; Immunohistochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008805175,0.00009572799,0.00008667578,0.00002400721,0.00007236883,0.00008127646,0.0001903443,0.00005850042,0.00003347544],"category_scores_gemma":[0.000007753123,0.00006534404,0.0001078447,0.0001139541,0.00009506428,0.00001036101,0.00003153084,0.00007009005,0.000003725228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002080835,"about_ca_system_score_gemma":0.0001889989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004293094,"about_ca_topic_score_gemma":0.00003658382,"domain_scores_codex":[0.9993463,0.00002229476,0.0001548384,0.0002314471,0.00009127318,0.0001538389],"domain_scores_gemma":[0.9995794,0.00001522216,0.00003257491,0.0003090772,0.00003474615,0.00002898352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001411909,0.00003039664,0.01358914,0.0001874089,0.0003251996,0.000003204487,0.0001453679,0.0001882816,0.8934436,0.004062955,0.0694244,0.01845886],"study_design_scores_gemma":[0.0006707938,0.0001859893,0.08346691,0.0002205543,0.0002242702,0.00001441605,0.0003309551,0.0009878494,0.4613158,0.0005036139,0.4515872,0.0004916805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7200238,0.2750297,0.001903452,0.0008830988,0.0007552278,0.0001257002,0.0001254163,0.00001153833,0.001142054],"genre_scores_gemma":[0.983948,0.01072991,0.00001330202,0.00008355858,0.0003816069,0.00008055207,0.00003776942,0.00002005662,0.004705231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4321278,"threshold_uncertainty_score":0.2664652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008265822283732844,"score_gpt":0.2660724371192374,"score_spread":0.2578066148355045,"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."}}