{"id":"W2765824604","doi":"10.1101/203596","title":"Multi-step regulation of transcription kinetics explains the non-linear relation between RNA polymerase II density and mRNA expression in Dosage Compensation","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Max-Planck-Gesellschaft","keywords":"Dosage compensation; RNA polymerase II; Transcription (linguistics); Chromatin; Messenger RNA; Biology; RNA polymerase III; Molecular biology; Transcriptional regulation; Chromatin immunoprecipitation; Gene expression; RNA polymerase; Gene; RNA; Genetics; Promoter","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":[0.000421588,0.0005354071,0.0004314725,0.0003076568,0.0001388788,0.0005148537,0.0005742019,0.0005630702,0.0010244],"category_scores_gemma":[0.0008263946,0.0004540503,0.000436025,0.0001653512,0.000590575,0.0004667433,0.0002767124,0.0007868756,0.0006543694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006778173,"about_ca_system_score_gemma":0.0001952276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003991667,"about_ca_topic_score_gemma":0.0002383137,"domain_scores_codex":[0.9997435,0.00004319221,0.00001306547,0.0001140313,0.000052133,0.00003404012],"domain_scores_gemma":[0.9995831,0.0002237899,0.00008394694,0.00005728752,0.00002851137,0.00002350526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001252304,0.00007673341,0.004711096,0.00009234717,0.00002530238,0.0001749903,0.00004804804,0.03704622,0.9486309,0.004289445,0.0001173265,0.004662407],"study_design_scores_gemma":[0.00001118721,0.00009284366,0.00940791,0.000009853666,0.00001900929,0.0002099868,0.00002304406,0.5350461,0.4507878,0.003732782,0.000633432,0.000026069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7556059,0.002070369,0.2392502,0.0003784888,0.00005759342,0.0000330478,0.0001997583,0.0004813788,0.001923383],"genre_scores_gemma":[0.9940077,0.0002654615,0.004738729,0.00002811261,0.000009056667,0.0000161557,0.00005469339,0.00003264941,0.0008474532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0010244,"threshold_uncertainty_score":0.004917979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221285886494618,"score_gpt":0.2532662183449417,"score_spread":0.2311376296954799,"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."}}