{"id":"W3180610358","doi":"10.21203/rs.3.rs-797138/v1","title":"The co-evolution of the genome and epigenome in colorectal cancer","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"Medical Research Council; Università degli Studi di Milano-Bicocca; Università degli Studi di Milano; National Cancer Institute; Cancer Research UK; Wellcome Trust","keywords":"Epigenome; Colorectal cancer; Genome; Computational biology; Biology; Genetics; Cancer; DNA methylation; 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":[0.0001996842,0.0001182056,0.0002588372,0.0005384907,0.000132443,0.0004740768,0.0001101278,0.0002054004,0.0006682866],"category_scores_gemma":[0.0003700358,0.0001611295,0.0001877852,0.000734811,0.0001987603,0.0002746005,0.0003739182,0.0002116937,0.0001774703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002089691,"about_ca_system_score_gemma":0.0001307692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00096525,"about_ca_topic_score_gemma":0.001331531,"domain_scores_codex":[0.9998227,0.00002509887,0.000005742562,0.00007253927,0.00004654771,0.00002734056],"domain_scores_gemma":[0.9997315,0.00008229135,0.00008033602,0.00004045455,0.00003560941,0.00002980913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001834781,0.00001247061,0.09231723,0.0001009187,0.00008436143,0.0001289195,0.0001163476,0.0007627883,0.8921806,0.0003579474,0.0001296917,0.01362528],"study_design_scores_gemma":[0.000003694871,0.00008558374,0.906016,0.000007505388,0.00006062537,0.000676273,0.0001563199,0.003321692,0.0856861,0.0007459975,0.00322838,0.00001183257],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912369,0.001474848,0.005434703,0.00006476211,0.000005486691,0.000004679746,0.001074885,0.00007319175,0.000630595],"genre_scores_gemma":[0.9943557,0.0004311133,0.003461197,0.00003412527,0.000007198554,0.000006173396,0.001155138,0.00002214671,0.0005272752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00096525,"threshold_uncertainty_score":0.002235651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273653536908064,"score_gpt":0.3524345148399836,"score_spread":0.3296979794709029,"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."}}