{"id":"W3122927608","doi":"10.1038/s41467-020-20603-4","title":"Sarcoma classification by DNA methylation profiling","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":547,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Brain Tumour Research; Friedberg Charitable Foundation; Nationales Centrum für Tumorerkrankungen Heidelberg; University College London Hospitals NHS Foundation Trust; Deutsche Krebshilfe; National Cancer Institute; Lundbeckfonden; University College London; National Institute for Health and Care Research","keywords":"Sarcoma; DNA methylation; Classifier (UML); Methylation; Soft tissue sarcoma; Soft tissue; Biology; Pathology; Computational biology; Medicine; Artificial intelligence; DNA; Computer science; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006982919,0.0002256288,0.0002555319,0.00104704,0.0001441896,0.0004943701,0.0002249985,0.0003250671,0.001014696],"category_scores_gemma":[0.0022184,0.00008974992,0.0002485543,0.0004572778,0.0001627013,0.0002222383,0.0003890149,0.0003422781,0.0004574249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002407342,"about_ca_system_score_gemma":0.0002561004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001473643,"about_ca_topic_score_gemma":0.002458381,"domain_scores_codex":[0.9995329,0.0001055731,0.00004575195,0.0001602351,0.0001171106,0.00003841133],"domain_scores_gemma":[0.9994505,0.0002061418,0.0001471373,0.00005593089,0.0001041024,0.00003609806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005331985,0.0001062505,0.7562784,0.0001188127,0.000174517,0.0002985721,0.0001975691,0.007726297,0.06336133,0.0005285515,0.00325152,0.167425],"study_design_scores_gemma":[0.0000533746,0.000479155,0.7569541,0.00009484963,0.0001905276,0.003524991,0.0003173466,0.1518556,0.06624275,0.003989866,0.01623588,0.00006150513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974969,0.0007000355,0.01830768,0.0001969996,0.00003032909,0.00008856256,0.003536957,0.0002074165,0.00196288],"genre_scores_gemma":[0.9809868,0.0003546995,0.01421791,0.00006418294,0.00002431987,0.00004943405,0.003348178,0.00001896911,0.0009355352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001473643,"threshold_uncertainty_score":0.003692985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05139448078333451,"score_gpt":0.3555199398929736,"score_spread":0.3041254591096391,"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."}}