{"id":"W4394849876","doi":"10.5376/cge.2024.12.0006","title":"High-Throughput Sequencing Technology: A New Chapter in Epigenetics and Disease Research","year":2024,"lang":"en","type":"article","venue":"Cancer Genetics and Epigenetics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Epigenetics; Throughput; Computational biology; DNA sequencing; Disease; Biology; Computer science; Genetics; Medicine; DNA; Telecommunications; Internal medicine; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004985523,0.0003368765,0.0002676995,0.0004270253,0.0001708361,0.0001825402,0.0002298061,0.000352995,0.00002550873],"category_scores_gemma":[0.0001288263,0.0003485636,0.00005491585,0.0004879598,0.000403881,0.000007649183,0.0004063683,0.0003616614,0.000007429323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007341403,"about_ca_system_score_gemma":0.0005924394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001984747,"about_ca_topic_score_gemma":0.0004518222,"domain_scores_codex":[0.9975069,0.00007720936,0.0004458303,0.001003688,0.0003164907,0.0006499175],"domain_scores_gemma":[0.9986789,0.0000456264,0.00005279712,0.0005519196,0.0001627398,0.0005080149],"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":[0.0001501307,0.00008134119,0.09668883,0.0005216691,0.0002054661,0.0001338781,0.001017373,0.007155611,0.5008466,0.02146546,0.0008839505,0.3708497],"study_design_scores_gemma":[0.002006757,0.001457131,0.05123236,0.0008536584,0.0002310257,0.0000229345,0.0005584574,0.01155647,0.4487612,0.2078108,0.2733325,0.002176658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7441798,0.24981,0.003426062,0.00165146,0.000360051,0.000348102,0.0000460897,0.00002711341,0.000151311],"genre_scores_gemma":[0.8443238,0.150229,0.004108044,0.0001112828,0.0005276762,0.00005405705,0.00002665673,0.00007867511,0.0005408232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3686731,"threshold_uncertainty_score":0.9998966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05067602172601234,"score_gpt":0.3554725377582246,"score_spread":0.3047965160322123,"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."}}