{"id":"W3088549359","doi":"10.1139/gen-2020-0104","title":"Transcriptional enhancers: from prediction to functional assessment on a genome-wide scale","year":2020,"lang":"en","type":"review","venue":"Genome","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ontario Ministry of Research and Innovation; Canadian Institutes of Health Research","keywords":"Enhancer; Biology; Chromatin; Computational biology; Epigenetics; Enhancer RNAs; Genetics; Genome; Gene; Regulation of gene expression; Transcription factor; Function (biology)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001735082,0.001470934,0.002066754,0.002334652,0.0001633721,0.001359859,0.001776876,0.001552499,0.002523099],"category_scores_gemma":[0.001713066,0.0006061413,0.0006284539,0.002000014,0.0007930963,0.001582723,0.0008743398,0.002154966,0.002546068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009517116,"about_ca_system_score_gemma":0.001308734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001105013,"about_ca_topic_score_gemma":0.001415019,"domain_scores_codex":[0.999514,0.00009335829,0.00004894067,0.0001173791,0.0001919135,0.0000343771],"domain_scores_gemma":[0.9989066,0.0006912205,0.0001086723,0.00002889336,0.0002149495,0.00004958096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008790071,0.00004997534,0.0003989319,0.01257919,0.0001942924,0.0001289145,0.00004523114,0.0009957824,0.004370221,0.006193382,0.02669103,0.9482651],"study_design_scores_gemma":[0.00003531854,0.0001589124,0.001314674,0.004599986,0.0003877365,0.00136463,0.000054535,0.0007116346,0.003805812,0.005679902,0.9818335,0.00005326347],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001744271,0.996751,0.001471826,0.0003392513,0.0001754247,0.0000100222,0.00008170019,0.00003750434,0.000958927],"genre_scores_gemma":[0.00131935,0.9957494,0.001496704,0.0003209438,0.0001659624,0.0000189883,0.0001913921,0.00001136765,0.0007259019],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002523099,"threshold_uncertainty_score":0.009176075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01836565511126161,"score_gpt":0.2611714114974586,"score_spread":0.242805756386197,"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."}}