{"id":"W4394505178","doi":"10.6084/m9.figshare.20267230","title":"Additional file 3 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; DNA methylation; In vivo; Biology; Transcription factor; Transcription (linguistics); Genetics; Computational biology; Gene; Computer science; 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":[0.001226357,0.002127174,0.00158732,0.001786547,0.000955925,0.002100916,0.002901399,0.001929898,0.4723381],"category_scores_gemma":[0.006876131,0.0007268954,0.001356993,0.002756745,0.0004298911,0.001344392,0.001422035,0.001709822,0.1586634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001200011,"about_ca_system_score_gemma":0.001768787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01092242,"about_ca_topic_score_gemma":0.0286675,"domain_scores_codex":[0.9993634,0.00008372573,0.00005926437,0.0002612227,0.0001240838,0.0001083392],"domain_scores_gemma":[0.9968649,0.001919774,0.0002004925,0.0003781004,0.000436536,0.0002002339],"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":[0.0001521801,0.00004743417,0.00224563,0.001538507,0.00006141775,0.00003988255,0.00002907482,0.0007325255,0.0003031521,0.0004548455,0.9917833,0.002612037],"study_design_scores_gemma":[0.001852652,0.0001037982,0.01400605,0.0008310247,0.0001682242,0.0002268567,0.0001357072,0.002069284,0.001838249,0.005586572,0.9730951,0.00008638788],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006787553,0.00001332133,0.00007217503,0.00001894746,0.000007095236,0.000006600048,0.9994192,0.0002020261,0.0001927789],"genre_scores_gemma":[0.0008420618,0.00002452144,0.0005263872,0.00006682722,0.000007159992,0.0001013983,0.9974726,0.0001986545,0.0007602868],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4723381,"threshold_uncertainty_score":0.7526456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0367992274579244,"score_gpt":0.2787910563613527,"score_spread":0.2419918289034282,"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."}}