{"id":"W2767394010","doi":"10.1080/21541264.2017.1394424","title":"Organizing combinatorial transcription factor recruitment at<i>cis</i>-regulatory modules","year":2017,"lang":"en","type":"review","venue":"Transcription","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"H2020 European Research Council; Fondation pour la Recherche Médicale; Agence Nationale de la Recherche; European Genomic Institute for Diabetes","keywords":"Transcription factor; Cis-regulatory module; Chromatin; Computational biology; Biology; Interdependence; DNA; Gene; Transcription (linguistics); Genetics; Political science; Enhancer","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":[0.0004177717,0.0006983898,0.0007917386,0.001456747,0.0001973528,0.0009517129,0.0008699322,0.0009387491,0.001860918],"category_scores_gemma":[0.0003699104,0.0002676489,0.0002329368,0.001331128,0.0006561774,0.001379623,0.0008432504,0.0009045106,0.001792239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005770274,"about_ca_system_score_gemma":0.0006520573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004479457,"about_ca_topic_score_gemma":0.0007085297,"domain_scores_codex":[0.9998795,0.00001940119,0.00001366653,0.00003711983,0.00003469557,0.00001559082],"domain_scores_gemma":[0.9998316,0.00006526024,0.00003882582,0.000007301119,0.0000357127,0.00002119518],"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":[0.00005373866,0.00002770601,0.0003325012,0.01082266,0.00005699089,0.0002732984,0.00008134681,0.0006329743,0.01076584,0.01148521,0.01145009,0.9540176],"study_design_scores_gemma":[0.000007939762,0.00005825317,0.000827194,0.001346876,0.00006461199,0.001650254,0.00006716758,0.0001775164,0.00342897,0.003590117,0.9887593,0.00002175691],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003951363,0.9970943,0.0005942301,0.0002041902,0.0001156602,0.00000445236,0.00001929706,0.00001554518,0.001557174],"genre_scores_gemma":[0.002158638,0.9961838,0.000461516,0.0001154024,0.0001238498,0.000007651964,0.00003677895,0.000003250958,0.000909169],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001860918,"threshold_uncertainty_score":0.006225407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09903170076988249,"score_gpt":0.3214942957574702,"score_spread":0.2224625949875877,"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."}}