{"id":"W2298824325","doi":"10.1073/pnas.1519286113","title":"Identification of tissue-specific cell death using methylation patterns of circulating DNA","year":2016,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":621,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; Israel Science Foundation; Juvenile Diabetes Research Foundation International; Deutsche Forschungsgemeinschaft; Teva Pharmaceutical Industries","keywords":"Programmed cell death; DNA methylation; Pancreas; Cell type; Biology; Pathological; Pathology; Cell; Pancreatic cancer; Cancer research; Cancer; Medicine; Apoptosis; Endocrinology; Biochemistry; Gene expression; Genetics; Gene","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":[0.0003718323,0.0003232069,0.0002883652,0.0006369016,0.0001196262,0.0003370696,0.0002029972,0.0004913578,0.0006952318],"category_scores_gemma":[0.0008454061,0.0001998293,0.0001923999,0.0002729248,0.0003000637,0.0002572249,0.0002269244,0.0004964569,0.000250302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001857999,"about_ca_system_score_gemma":0.0001842699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005844632,"about_ca_topic_score_gemma":0.0009137239,"domain_scores_codex":[0.9997028,0.00004365561,0.00001522121,0.0001380999,0.0000731809,0.00002707453],"domain_scores_gemma":[0.9996531,0.0001236948,0.00009497816,0.00004177606,0.00005504458,0.00003134898],"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":[0.0001505476,0.00001497219,0.006657637,0.0000517927,0.00002266841,0.00005458397,0.00006801577,0.0001636895,0.9811971,0.0001324627,0.0000610857,0.01142547],"study_design_scores_gemma":[0.00001528062,0.0004175263,0.03196491,0.00001997427,0.00006151851,0.0006963604,0.00007369355,0.004670636,0.9590586,0.000591816,0.002403106,0.00002656059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.863862,0.004198018,0.1278569,0.0002982678,0.00008470748,0.0001251479,0.001517012,0.000348411,0.00170944],"genre_scores_gemma":[0.9307827,0.002024383,0.06421617,0.000230521,0.00003648113,0.0001198568,0.0006441826,0.00004769138,0.001898045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006952318,"threshold_uncertainty_score":0.002325773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05474880091073432,"score_gpt":0.3213297548903827,"score_spread":0.2665809539796484,"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."}}