{"id":"W4293479185","doi":"10.1002/bies.202200105","title":"Causality in transcription and genome folding: Insights from X inactivation","year":2022,"lang":"en","type":"article","venue":"BioEssays","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Agència de Gestió d'Ajuts Universitaris i de Recerca; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; Generalitat de Catalunya; European Molecular Biology Organization; Centres de Recerca de Catalunya; Agencia Estatal de Investigación; Ministerio de Ciencia, Innovación y Universidades; AXA Research Fund","keywords":"Genome; Biology; Genetics; Transcription (linguistics); Gene; Chromosome; Evolutionary biology; Computational biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007149531,0.00007247089,0.00007233552,0.00003556925,0.00008642779,0.00001334015,0.00007378853,0.00005076532,0.00001806861],"category_scores_gemma":[0.000006439212,0.00007994636,0.00002092629,0.00005982428,0.00001950319,0.000002893194,0.00007848137,0.00006610691,5.814736e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004241386,"about_ca_system_score_gemma":0.0000225199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001917016,"about_ca_topic_score_gemma":0.0001612227,"domain_scores_codex":[0.9994581,0.00005178692,0.0001201152,0.0002159752,0.00006670933,0.00008732588],"domain_scores_gemma":[0.9997831,0.000004210763,0.00004169582,0.0001341571,0.00001077898,0.00002608057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002712973,0.00004142293,0.002582541,0.000004508556,0.000009103175,0.000001570428,0.0002151293,0.0001479642,0.9961367,0.0005329964,0.00001678752,0.0002841699],"study_design_scores_gemma":[0.004014576,0.0009083965,0.702599,0.00001480909,0.00005023326,0.00002348498,0.003536907,0.005371872,0.2005224,0.01616034,0.06565992,0.001138028],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983155,0.0005568605,0.0004358871,0.00008530627,0.00008886858,0.000099285,0.00005757853,0.000005642537,0.0003550967],"genre_scores_gemma":[0.999012,0.00008550465,0.0002034308,0.00009848826,0.00004834075,0.00002613314,0.0004713487,0.000009893956,0.00004484011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7956142,"threshold_uncertainty_score":0.3260118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009498723788683312,"score_gpt":0.2094609465906295,"score_spread":0.1999622228019462,"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."}}