{"id":"W6977792603","doi":"10.6084/m9.figshare.27894401.v1","title":"Additional file 2 of Technical variability across the 450K, EPICv1, and EPICv2 DNA methylation arrays: lessons learned for clinical and longitudinal studies","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Linguistic and Sociocultural Studies","field":"Social Sciences","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":[0.005228137,0.001362212,0.001580604,0.002049579,0.001024078,0.002617263,0.002948863,0.002525684,0.4694751],"category_scores_gemma":[0.04834601,0.0008696313,0.001531205,0.003740689,0.0004963909,0.001757307,0.001424666,0.0017712,0.08977681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001273922,"about_ca_system_score_gemma":0.002088144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01083676,"about_ca_topic_score_gemma":0.02330696,"domain_scores_codex":[0.9980192,0.0005890129,0.0002997175,0.0006494144,0.0002845625,0.0001580894],"domain_scores_gemma":[0.9733239,0.0197845,0.00112125,0.003008402,0.002287555,0.0004742925],"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":[0.0001889784,0.00002985542,0.003464911,0.001435615,0.0001211502,0.00004381115,0.00004175214,0.0004863877,0.00008515064,0.0007981278,0.9882549,0.005049442],"study_design_scores_gemma":[0.002635562,0.0001109857,0.02610225,0.001944105,0.0004543961,0.0004547722,0.0002073348,0.001726211,0.0006602615,0.0180557,0.9475005,0.0001478026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001408216,0.00004826792,0.000476976,0.0001267804,0.00002649027,0.00002773782,0.9986213,0.0001899742,0.0003416133],"genre_scores_gemma":[0.004964241,0.0001196948,0.003561839,0.000584592,0.00007188024,0.001111338,0.9853691,0.0006150512,0.003602165],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4694751,"threshold_uncertainty_score":0.7567294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2986282461381061,"score_gpt":0.4937519966034021,"score_spread":0.1951237504652961,"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."}}