{"id":"W1993844923","doi":"10.1371/journal.pone.0012791","title":"Comparative Structural Analysis of Human DEAD-Box RNA Helicases","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"Knut och Alice Wallenbergs Stiftelse; Karolinska Institutet; Stiftelsen för Strategisk Forskning; Ontario Genomics Institute; Canadian Institutes of Health Research; Ontario Genomics; Genome Canada; Ontario Innovation Trust; European Synchrotron Radiation Facility; Wellcome Trust; GlaxoSmithKline","keywords":"DEAD box; Helicase; RNA Helicase A; RNA; Biology; Computational biology; Genetics; RNA-binding protein; eIF4A; Cell biology; Non-coding RNA; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007128231,0.00007273621,0.0002236295,0.00008193796,0.00006302099,0.00001194258,0.0001427722,0.00005782892,0.0001233525],"category_scores_gemma":[0.00004970279,0.00006344519,0.00008303541,0.0001659755,0.00008863342,0.000002209464,0.0000601861,0.0001042578,0.000003869578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000300552,"about_ca_system_score_gemma":0.00001879759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000999679,"about_ca_topic_score_gemma":0.0006772699,"domain_scores_codex":[0.9993598,0.00002895731,0.0001292919,0.000164695,0.0001650164,0.0001521643],"domain_scores_gemma":[0.999473,0.00001250035,0.00005393603,0.0002622774,0.0001235772,0.00007471485],"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":[0.00002500519,0.0001089471,0.01264915,0.00001026484,0.001119202,9.905792e-7,0.00003648397,0.00000553109,0.9858712,0.00007336215,0.00004136082,0.00005849389],"study_design_scores_gemma":[0.0001498754,0.0001798575,0.02451559,0.000005163318,0.0002175318,3.004258e-7,0.0000350362,0.0005074061,0.974282,0.00001820203,0.00001608265,0.00007291861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990507,0.00007553503,0.00001789592,0.0000301676,0.000006817179,0.00007773507,0.00003134988,0.000004843401,0.0007049021],"genre_scores_gemma":[0.9983667,0.00001048055,0.0007207437,0.00002647816,0.00007053463,0.000006120441,0.0001406669,0.000005351425,0.0006529163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01186644,"threshold_uncertainty_score":0.258722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04983720721661009,"score_gpt":0.3265969339109173,"score_spread":0.2767597266943073,"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."}}