{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007432937,0.0003501037,0.0004052237,0.0007107334,0.0003363651,0.0008891565,0.0004023017,0.0004982385,0.001660696],"category_scores_gemma":[0.001282677,0.0002140152,0.0003349226,0.0003884616,0.002875862,0.002538862,0.001329978,0.001253239,0.0002048045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004832298,"about_ca_system_score_gemma":0.00032851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000530981,"about_ca_topic_score_gemma":0.0005124281,"domain_scores_codex":[0.9998446,0.00005515087,0.000009154403,0.00003267823,0.00004232109,0.00001613367],"domain_scores_gemma":[0.9994679,0.0003064759,0.0000901151,0.00005860447,0.00003023488,0.00004663679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001451139,0.00003568617,0.005825907,0.0004088356,0.00003418659,0.000948569,0.001032143,0.01385481,0.03924527,0.8876526,0.0009683938,0.04984852],"study_design_scores_gemma":[0.00001473661,0.00005172962,0.004654459,0.00005849064,0.00001804499,0.0005657125,0.000303678,0.009830807,0.004491704,0.9690994,0.01088677,0.00002446307],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4458466,0.1136361,0.3588202,0.02817066,0.0007973962,0.000047778,0.0003526713,0.0004769908,0.0518517],"genre_scores_gemma":[0.9072542,0.06398472,0.02296975,0.001053387,0.0006227585,0.00002848003,0.000100923,0.00006157527,0.003924258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001660696,"threshold_uncertainty_score":0.00555563,"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."}}