{"id":"W6920959981","doi":"10.6084/m9.figshare.27894398","title":"Additional file 1 of Technical variability across the 450K, EPICv1, and EPICv2 DNA methylation arrays: lessons learned for clinical and longitudinal studies","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"DNA methylation; DNA; DNA sequencing; Genome; MEDLINE; Selection (genetic algorithm)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007511047,0.001180384,0.001345952,0.002346175,0.0008938467,0.002080941,0.002648656,0.001980537,0.7827871],"category_scores_gemma":[0.08495722,0.0009167154,0.001045049,0.003418565,0.0004199959,0.002073992,0.001258937,0.001496662,0.1483639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001105281,"about_ca_system_score_gemma":0.001734799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004652104,"about_ca_topic_score_gemma":0.008150356,"domain_scores_codex":[0.9970388,0.0009553783,0.0004494102,0.0007253725,0.0006561233,0.0001749574],"domain_scores_gemma":[0.9028155,0.08236709,0.002299428,0.006230807,0.005471248,0.0008158743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003508916,0.00005445229,0.002622771,0.001457915,0.00007535348,0.00007764529,0.00006145101,0.0005341027,0.0001991009,0.001058141,0.9739683,0.01953997],"study_design_scores_gemma":[0.002815635,0.0003199233,0.03478685,0.002738004,0.0003242861,0.001019483,0.0003413293,0.003745049,0.002116737,0.03244303,0.9190826,0.0002671874],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003950618,0.00008393862,0.004330497,0.0004846927,0.000105939,0.00009161377,0.9918612,0.001471591,0.001175335],"genre_scores_gemma":[0.02142256,0.0004547317,0.02921843,0.002390478,0.0004368068,0.003022026,0.9182957,0.005161382,0.01959785],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7827871,"threshold_uncertainty_score":0.3098278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1774851093955276,"score_gpt":0.4394189201456334,"score_spread":0.2619338107501057,"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."}}