{"id":"W4308784886","doi":"10.21203/rs.3.rs-2253164/v1","title":"MethMotif.org 2023: The transcription factor binding motifs database that integrates cell-specific functions, co-factors and DNA methylation profiles.","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Canada Research Chairs; Alliance de recherche numérique du Canada; National Research Foundation","keywords":"DNA methylation; Transcription factor; DNA; Methylation; Computational biology; Biology; Genetics; Gene; Gene expression","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009005071,0.004130505,0.003212777,0.002987272,0.0008829719,0.001996556,0.004865376,0.002897961,0.09187773],"category_scores_gemma":[0.002172304,0.002011346,0.001720613,0.002930015,0.000314987,0.001670555,0.002155706,0.002213733,0.08958616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007163137,"about_ca_system_score_gemma":0.001160759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002907369,"about_ca_topic_score_gemma":0.004318775,"domain_scores_codex":[0.9995236,0.00006412115,0.00004179751,0.0001400001,0.0001493808,0.00008101337],"domain_scores_gemma":[0.9996237,0.0001219632,0.00004717818,0.00009592587,0.00003014362,0.00008107776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003239096,0.0002750428,0.00298018,0.005914134,0.000595427,0.0007179933,0.0002906693,0.00267442,0.08055161,0.009655494,0.8213779,0.07172798],"study_design_scores_gemma":[0.001269832,0.0002087172,0.006987425,0.0005277739,0.0002819391,0.001178674,0.0001135735,0.01292149,0.03733819,0.01614224,0.9227723,0.0002579568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.006229432,0.00262591,0.04021969,0.0002794816,0.0002318916,0.0001347508,0.812115,0.1283832,0.009780708],"genre_scores_gemma":[0.01664115,0.001038925,0.02818665,0.0002071528,0.00008268235,0.0004715667,0.9343103,0.01454974,0.004511764],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.09187773,"threshold_uncertainty_score":0.3073616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1196013675685967,"score_gpt":0.3773759912367669,"score_spread":0.2577746236681701,"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."}}