{"id":"W2737414369","doi":"10.1261/rna.062166.117","title":"Ribonucleoprotein purification and characterization using RNA Mango","year":2017,"lang":"en","type":"article","venue":"RNA","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Institute of General Medical Sciences; Boise State University; University of Wisconsin-Madison; Wisconsin Alumni Research Foundation; Gordon and Betty Moore Foundation; Research Corporation for Science Advancement; National Institutes of Health; National Science Foundation","keywords":"RNA; Biology; Ribonucleoprotein; Aptamer; Biochemistry; Small nuclear RNA; RNA-dependent RNA polymerase; Oligonucleotide; Molecular biology; Computational biology; DNA; Gene","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":[0.0002344799,0.0004222637,0.0002675295,0.0003933449,0.0002315367,0.0003021994,0.0001881476,0.0002249942,0.0006321908],"category_scores_gemma":[0.000416276,0.000165791,0.0002141463,0.000341056,0.0002079604,0.0001883269,0.0002161674,0.000381398,0.0008533624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001854544,"about_ca_system_score_gemma":0.0001543364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006933144,"about_ca_topic_score_gemma":0.0009443073,"domain_scores_codex":[0.9998059,0.00002951381,0.00002174502,0.00005055551,0.00006441584,0.00002807084],"domain_scores_gemma":[0.999724,0.00008294469,0.00005687173,0.00004145979,0.000057035,0.00003768364],"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":[0.000007159955,0.000003995519,0.00007828217,0.00001332159,0.000001473696,0.00002517229,0.00001174262,0.00004368442,0.9992688,0.00002548695,0.00001051106,0.0005103884],"study_design_scores_gemma":[0.000001887522,0.00004203695,0.001411403,0.000004727461,0.000005266923,0.0001576432,0.00001597121,0.0007428512,0.9955744,0.00004669897,0.001992293,0.000004858826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8720304,0.002111919,0.1196257,0.0002415363,0.00006238827,0.0002664219,0.001815112,0.0007497356,0.003096843],"genre_scores_gemma":[0.8864576,0.002253442,0.09399671,0.0001718726,0.00003918953,0.0003258497,0.005935243,0.0004631365,0.01035691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006933144,"threshold_uncertainty_score":0.002114892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098333812202518,"score_gpt":0.2578536237452345,"score_spread":0.2368702856232093,"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."}}