{"id":"W2098119888","doi":"10.1586/erm.12.39","title":"Epigenetic biomarkers in colorectal cancer diagnostics","year":2012,"lang":"en","type":"review","venue":"Expert Review of Molecular Diagnostics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Epigenetics; Colorectal cancer; DNA methylation; Biomarker; Medicine; microRNA; Biomarker discovery; Bioinformatics; Cancer; Histone; Genome instability; Oncology; Internal medicine; Biology; Proteomics; DNA damage; Gene expression; Gene; Genetics; DNA","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":[0.001067702,0.0009701054,0.001249155,0.002194813,0.0002821812,0.0009227277,0.0009098909,0.001694562,0.003330269],"category_scores_gemma":[0.001231776,0.0003493751,0.0005322706,0.00155917,0.0006012892,0.001200177,0.0008923532,0.001961547,0.002583153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007031133,"about_ca_system_score_gemma":0.001047767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001024663,"about_ca_topic_score_gemma":0.001658736,"domain_scores_codex":[0.9995438,0.0001189013,0.00004376062,0.00007746965,0.0001859914,0.00003003528],"domain_scores_gemma":[0.9993747,0.0003062843,0.00008367193,0.00001786851,0.0001802716,0.00003733101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006401552,0.00004729296,0.0005015738,0.009751176,0.00009184582,0.0003514617,0.00006035517,0.0003523658,0.00658965,0.003593902,0.01945974,0.9591365],"study_design_scores_gemma":[0.0000182644,0.0001536871,0.001766723,0.002981233,0.0001536437,0.003420488,0.00009671057,0.000374323,0.005619008,0.004019986,0.9813449,0.00005095609],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002154229,0.996626,0.0008548894,0.0006660102,0.0003431838,0.000009120671,0.00002965736,0.00001581026,0.001239824],"genre_scores_gemma":[0.001993775,0.9946294,0.001197663,0.0004096339,0.0003609129,0.00001822647,0.00006138272,0.000003728983,0.001325221],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003330269,"threshold_uncertainty_score":0.01114082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463974196940952,"score_gpt":0.3617288068919508,"score_spread":0.3370890649225413,"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."}}