{"id":"W4415478342","doi":"10.1021/acs.jcim.5c02000","title":"UniMethylNet: A Universal DNA Methylation Site Prediction Network Integrating a Neural Network and an Attention Mechanism","year":2025,"lang":"en","type":"article","venue":"Journal of Chemical Information and Modeling","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Natural Science Foundation of China","keywords":"DNA methylation; Artificial neural network; Weighting; Methylation; Identification (biology); Generalization; Epigenetics; Sequence (biology)","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":[0.0006620797,0.001126085,0.0008842229,0.0008480161,0.0003811949,0.0005089222,0.001797987,0.0008669301,0.002264759],"category_scores_gemma":[0.001026819,0.0004103641,0.0006787106,0.0005990475,0.0003696617,0.001184841,0.001041044,0.0008425231,0.0005906583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000978653,"about_ca_system_score_gemma":0.001009196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01079082,"about_ca_topic_score_gemma":0.01824218,"domain_scores_codex":[0.9997801,0.00003290237,0.000009953841,0.0001026319,0.00003910597,0.00003523818],"domain_scores_gemma":[0.9997846,0.00008222152,0.00002723932,0.00002799806,0.00005828288,0.00001961227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005398386,0.0003074039,0.008369779,0.0003064681,0.0004050327,0.0003199246,0.00008605736,0.3885742,0.02648731,0.00570106,0.01269096,0.5562119],"study_design_scores_gemma":[0.00001079933,0.00005268541,0.00068841,0.00001053579,0.00003481247,0.00005120641,0.000008110248,0.9916329,0.003997447,0.002222779,0.001277973,0.00001229638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1637868,0.003782001,0.8085139,0.0007933465,0.0003625284,0.0001771984,0.002481391,0.01131853,0.008784314],"genre_scores_gemma":[0.7729461,0.00118916,0.2074877,0.001055501,0.0001624564,0.0003112882,0.00495822,0.000250024,0.01163954],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01079082,"threshold_uncertainty_score":0.021456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0112735033206652,"score_gpt":0.2594981906654136,"score_spread":0.2482246873447484,"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."}}