{"id":"W2913816435","doi":"10.1096/fasebj.30.1_supplement.99.3","title":"Complex Multi‐Enhancer Contacts Captured By Genome Architecture Mapping, A Novel Ligation‐Free Approach","year":2016,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Canadian Institutes of Health Research; Breast Cancer Campaign; Cancer Research UK","keywords":"Enhancer; Computational biology; Biology; Computer science; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005960052,0.0006569918,0.0005457544,0.001098885,0.0004261079,0.001193715,0.001017846,0.000670455,0.001752261],"category_scores_gemma":[0.0006798772,0.0008103256,0.0006387198,0.0006969367,0.0003904054,0.0005819144,0.001374891,0.001114012,0.001188907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003994421,"about_ca_system_score_gemma":0.0003068121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000667221,"about_ca_topic_score_gemma":0.001965568,"domain_scores_codex":[0.9991128,0.0001686293,0.00002650032,0.0003890163,0.0002023933,0.0001007056],"domain_scores_gemma":[0.9995897,0.0001159141,0.00009473514,0.0001035384,0.00003642323,0.00005966807],"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":[0.00009614175,0.00004261047,0.0009421294,0.00008815305,0.00003779848,0.00007413341,0.0000605319,0.001066807,0.9763464,0.0009532153,0.0003382602,0.01995377],"study_design_scores_gemma":[0.00006265937,0.0002831063,0.009499568,0.00001980397,0.0000895169,0.0009586966,0.00008154463,0.03619925,0.9271538,0.002006654,0.02355514,0.00009023603],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3954941,0.002508785,0.589317,0.0005148837,0.0000969778,0.0002788374,0.003383394,0.003346074,0.005059844],"genre_scores_gemma":[0.516666,0.001097414,0.4668152,0.000309057,0.00004534938,0.0003888536,0.007632413,0.0003155746,0.006730225],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001752261,"threshold_uncertainty_score":0.005861878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0163017877904289,"score_gpt":0.2178338401217094,"score_spread":0.2015320523312805,"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."}}