{"id":"W4394381313","doi":"10.6084/m9.figshare.20267239","title":"Additional file 5 of Toward a base-resolution panorama of the in vivo impact of cytosine methylation on transcription factor binding","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre","funders":"","keywords":"Methylation; Panorama; Cytosine; Transcription factor; DNA methylation; Genetics; Biology; In vivo; Transcription (linguistics); Computational biology; Computer science; DNA; Gene; Gene expression","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":[0.001310935,0.002137124,0.002023369,0.002256283,0.0008910792,0.002503023,0.002896536,0.002086124,0.4186215],"category_scores_gemma":[0.01004926,0.000790674,0.001615723,0.00377071,0.0004021395,0.001487264,0.001493345,0.001680717,0.1424022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001275496,"about_ca_system_score_gemma":0.001827062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01095094,"about_ca_topic_score_gemma":0.02520758,"domain_scores_codex":[0.9991253,0.0001261783,0.00009780264,0.0003478338,0.0001653609,0.000137603],"domain_scores_gemma":[0.9954143,0.002910446,0.0003273454,0.000555757,0.0005422303,0.000249846],"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":[0.0002010437,0.00004641263,0.002536201,0.0027853,0.000106835,0.00004641214,0.00003063717,0.0006187701,0.0002591265,0.0004721018,0.9901787,0.002718404],"study_design_scores_gemma":[0.002333505,0.00009588947,0.01739616,0.001223354,0.0002521963,0.0002355131,0.0001288429,0.001297193,0.001287802,0.005148655,0.97051,0.00009079725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005714273,0.0000214321,0.00004144183,0.00001939554,0.00000556254,0.0000048749,0.9995616,0.0001302224,0.0001583574],"genre_scores_gemma":[0.0008287802,0.00003754901,0.0003641431,0.00006813346,0.000007153886,0.0000896811,0.9978639,0.0001210937,0.0006196175],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4186215,"threshold_uncertainty_score":0.829266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0368053727041068,"score_gpt":0.2789282481126289,"score_spread":0.2421228754085221,"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."}}