{"id":"W1986223165","doi":"10.1038/nature13182","title":"A promoter-level mammalian expression atlas","year":2014,"lang":"en","type":"article","venue":"Nature","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2175,"is_retracted":false,"has_abstract":false,"ca_institutions":"Child and Family Research Institute; University of British Columbia","funders":"National Institute of General Medical Sciences; RIKEN; Biotechnology and Biological Sciences Research Council; National Institute of Dental and Craniofacial Research; Novo Nordisk Fonden; Ministry of Education, Culture, Sports, Science and Technology; Lundbeckfonden; Wellcome Trust","keywords":"Biology; Promoter; Transcription factor; Gene; Computational biology; Genetics; Human genome; Genome; Cell type; Transcription (linguistics); Gene expression; Gene expression profiling; Transcriptome; Transcriptional regulation; Regulation of gene expression; Cell","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":[0.0002649957,0.0004962559,0.0004421397,0.001245411,0.0005067444,0.0008859767,0.0006524784,0.0004556431,0.01369476],"category_scores_gemma":[0.0002975068,0.0004516995,0.0005062012,0.0022636,0.0001618306,0.0004449745,0.0005784185,0.0008669152,0.009203946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005461107,"about_ca_system_score_gemma":0.0009614616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002086039,"about_ca_topic_score_gemma":0.007335042,"domain_scores_codex":[0.9997877,0.00001519283,0.00001470906,0.00006492354,0.0000876867,0.00002973956],"domain_scores_gemma":[0.9997956,0.00003144466,0.00002640497,0.00006231199,0.00005104917,0.0000331847],"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":[0.0003290859,0.00007493326,0.00502676,0.0007273792,0.0001130102,0.0003889923,0.0001604925,0.003620424,0.8062008,0.0105159,0.09003767,0.08280456],"study_design_scores_gemma":[0.00004507084,0.0001079076,0.0260831,0.00007849362,0.0001362929,0.001385449,0.00006990548,0.01185789,0.2441573,0.005884176,0.7101325,0.00006178192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0642033,0.003267123,0.3395957,0.0006185842,0.0003584175,0.0002352634,0.45442,0.06711122,0.07019044],"genre_scores_gemma":[0.1402048,0.004860053,0.259488,0.0006388672,0.0001263486,0.0007512542,0.5411358,0.008275189,0.04451976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01369476,"threshold_uncertainty_score":0.04581356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004940888593194729,"score_gpt":0.2240716325979794,"score_spread":0.2191307440047846,"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."}}