{"id":"W2611450379","doi":"10.1126/science.aan2927","title":"Transcription factors read epigenetics","year":2017,"lang":"en","type":"letter","venue":"Science","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Epigenetics; Transcription factor; Computational biology; Transcription (linguistics); Genetics; Biology; Gene; Linguistics; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.001381627,0.0005658007,0.0004880523,0.0002558425,0.001515714,0.001642375,0.0006374266,0.01000399,0.006671797],"category_scores_gemma":[0.006411077,0.0003367437,0.0004878815,0.0001715256,0.003543128,0.002059188,0.001297644,0.01553984,0.00447997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001935239,"about_ca_system_score_gemma":0.0008316895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000936584,"about_ca_topic_score_gemma":0.001517659,"domain_scores_codex":[0.9991081,0.000200489,0.00005732105,0.0001245901,0.0003625792,0.0001468732],"domain_scores_gemma":[0.9981149,0.0009313004,0.0001581967,0.0002228751,0.0002552621,0.0003173721],"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":[0.0002743794,0.00004967519,0.0008044787,0.0001265147,0.00004220082,0.003210549,0.0002775449,0.0001227932,0.007885765,0.04543516,0.8936123,0.0481587],"study_design_scores_gemma":[0.00009745001,0.00006064512,0.0004166701,0.00005752008,0.00001751113,0.001776507,0.0001722946,0.0002040795,0.004362484,0.0361182,0.9566913,0.00002518492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0018432,0.01169633,0.001542408,0.9264158,0.04464957,0.00001527211,0.0000754905,0.0001466116,0.01361528],"genre_scores_gemma":[0.0564114,0.01122875,0.001476645,0.7641468,0.08422594,0.00007335688,0.000110397,0.0001024312,0.08222433],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01000399,"threshold_uncertainty_score":0.02231938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03259857286468652,"score_gpt":0.2950305652467178,"score_spread":0.2624319923820312,"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."}}