{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000930986,0.0001482583,0.0001279317,0.0004292099,0.000123239,0.0002187952,0.00007315146,0.0001273192,0.0005478131],"category_scores_gemma":[0.0001743678,0.00008178359,0.000115872,0.0003096664,0.0001039973,0.0001228515,0.000162054,0.0001257334,0.0001774557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001416293,"about_ca_system_score_gemma":0.0001351002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007045853,"about_ca_topic_score_gemma":0.001404766,"domain_scores_codex":[0.9999312,0.000008874013,0.000004375386,0.00002319823,0.00001796313,0.00001429999],"domain_scores_gemma":[0.9999176,0.00001521948,0.00002780765,0.000007603195,0.00001760817,0.00001413674],"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":[0.0001678686,0.000006080385,0.01059769,0.00004171599,0.00001377621,0.00005926251,0.00003300809,0.00007123455,0.9843428,0.00003261869,0.00004221022,0.004591732],"study_design_scores_gemma":[0.00001036463,0.0004295592,0.5687342,0.00001547029,0.00009844515,0.001322634,0.0002286047,0.003024992,0.4202921,0.0002736839,0.005550547,0.00001946174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934232,0.001808245,0.002180537,0.00004564312,0.000004796589,0.00001592376,0.001770315,0.00004261379,0.0007084943],"genre_scores_gemma":[0.9926149,0.001071227,0.002161074,0.00004376596,0.000008852943,0.00002683619,0.002672199,0.00001467442,0.001386435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007045853,"threshold_uncertainty_score":0.001832664,"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."}}