{"id":"W2906798543","doi":"10.1101/507574","title":"Estrogen receptor alpha controls gene expression via translational offsetting","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Science for Life Laboratory; National Health and Medical Research Council; Karolinska Institutet; Swedish Foundation for International Cooperation in Research and Higher Education; Marshfield Clinic Research Foundation; Victorian Cancer Agency; Cancerfonden; National Institutes of Health; Cancerföreningen i Stockholm; Vetenskapsrådet; U.S. Department of Health and Human Services","keywords":"Translational efficiency; Polysome; Translational regulation; Translation (biology); Biology; Messenger RNA; Estrogen receptor; Estrogen receptor alpha; Cell biology; Estrogen receptor beta; Transcriptome; Estrogen; microRNA; Gene expression; Gene; Genetics; RNA; Cancer","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":[0.0001652891,0.0002246861,0.0001922506,0.0001697725,0.0001432626,0.0004040805,0.0001142904,0.0001645643,0.001169833],"category_scores_gemma":[0.0001715596,0.0001437639,0.000185391,0.0001687454,0.0002601829,0.0001801341,0.0002191773,0.0002946109,0.000604497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002986749,"about_ca_system_score_gemma":0.0001626736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002256918,"about_ca_topic_score_gemma":0.0002824046,"domain_scores_codex":[0.999856,0.00002292755,0.000009569153,0.00005877412,0.0000279913,0.00002476259],"domain_scores_gemma":[0.9998709,0.00002769477,0.00004359626,0.00002141184,0.00001940433,0.00001687723],"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":[0.00009131,0.000006358464,0.0003551758,0.00001677697,0.000002187081,0.00002455863,0.000009805185,0.00006268921,0.9979663,0.0002196609,0.00004656526,0.001198737],"study_design_scores_gemma":[0.000009854144,0.0001362776,0.0132662,0.000008068393,0.000008195498,0.0001400357,0.00003144137,0.001194914,0.9814648,0.0003730149,0.003361735,0.00000557445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852123,0.003155538,0.007005572,0.0002355777,0.00007608991,0.00001332389,0.000696475,0.000236286,0.003368879],"genre_scores_gemma":[0.9932771,0.0008563974,0.002032162,0.00007225864,0.00002303904,0.00001008343,0.0006089615,0.00005593597,0.003064069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001169833,"threshold_uncertainty_score":0.003913462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022064981978883,"score_gpt":0.2173539178678106,"score_spread":0.2071332680480218,"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."}}