{"id":"W2598881256","doi":"10.1021/acsnano.6b07533","title":"Identification of Gene Transcription Start Sites and Enhancers Responding to Pulmonary Carbon Nanotube Exposure <i>in Vivo</i>","year":2017,"lang":"en","type":"article","venue":"ACS Nano","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Directorate-General for Research and Innovation; Novo Nordisk Fonden; Novo Nordisk; European Research Council; Lundbeckfonden","keywords":"Enhancer; Gene; Transcription factor; Transcription (linguistics); Biology; Mef2; Gene expression; Promoter; Regulation of gene expression; Cell biology; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001913913,0.0000832173,0.00008967103,0.0001035665,0.00006818176,0.00002609692,0.000129972,0.00008975923,0.000003506354],"category_scores_gemma":[0.00006234783,0.00009190429,0.00002737161,0.00006613586,0.00004318701,0.00001067339,0.00003331903,0.00002307221,9.067965e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001910173,"about_ca_system_score_gemma":0.00002545817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002850529,"about_ca_topic_score_gemma":0.00004285972,"domain_scores_codex":[0.9993162,0.00003385595,0.0001993332,0.0002500038,0.00008852845,0.0001120943],"domain_scores_gemma":[0.9993929,0.000004232063,0.0001171028,0.0003953393,0.00005055095,0.00003987649],"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":[0.0001542857,0.00002243059,0.007232687,0.00002700495,0.000009347072,0.000001356936,0.0001232323,0.00002742714,0.9917179,0.0000114841,0.0000441159,0.0006287005],"study_design_scores_gemma":[0.0002029698,0.00005653896,0.02491758,0.00002445373,0.00001216836,0.000002461212,0.00004409339,0.00004073869,0.9740037,0.00002586206,0.0005765297,0.0000929418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985964,0.0007520112,0.00008376656,0.0001002603,0.00007490229,0.0001957497,0.00003394545,0.000004226214,0.0001587449],"genre_scores_gemma":[0.999064,0.0001031465,0.000148358,0.00002452195,0.00004483608,0.00001824253,0.00003754048,0.00001207006,0.0005472882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01771426,"threshold_uncertainty_score":0.3747748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005917428198139,"score_gpt":0.247070671420542,"score_spread":0.2370114971385606,"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."}}