{"id":"W2594764564","doi":"10.1038/nature21411","title":"Complex multi-enhancer contacts captured by genome architecture mapping","year":2017,"lang":"en","type":"article","venue":"Nature","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":763,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"Breast Cancer Campaign","keywords":"Chromatin; Genome; Enhancer; Computational biology; Biology; Genomic organization; DNA sequencing; Chromosome conformation capture; Gene; Genetics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001705142,0.0001968112,0.0002927721,0.0004690534,0.0003230445,0.0007178533,0.00055736,0.0003742549,0.0029829],"category_scores_gemma":[0.0007139436,0.0003831544,0.0002083931,0.0007540517,0.0003064589,0.0007815042,0.0005365408,0.000672463,0.0004984611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003338525,"about_ca_system_score_gemma":0.0001777609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00128619,"about_ca_topic_score_gemma":0.003389751,"domain_scores_codex":[0.9998841,0.00001426267,0.000002875125,0.00004062793,0.00003492327,0.00002324182],"domain_scores_gemma":[0.9996541,0.000139574,0.00004548483,0.00009471611,0.00002654375,0.00003954076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000140345,0.00005552339,0.006989513,0.00008283547,0.00004754183,0.000242143,0.0001896324,0.02334469,0.9318179,0.009278567,0.0005139653,0.02729733],"study_design_scores_gemma":[0.00003328894,0.00008984793,0.08803651,0.00001876853,0.00005548023,0.0007331588,0.0003289141,0.5273237,0.3576109,0.01809218,0.007601922,0.0000753267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.892801,0.000478007,0.1003402,0.0001238118,0.00002898762,0.00001212381,0.0003568298,0.000386369,0.005472577],"genre_scores_gemma":[0.9827489,0.0001481806,0.01578767,0.00002612347,0.000008563986,0.00000873262,0.0002371692,0.0000830912,0.0009514574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0029829,"threshold_uncertainty_score":0.009978831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01077815574155345,"score_gpt":0.2556264758729428,"score_spread":0.2448483201313894,"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."}}