{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001518884,0.0003865849,0.0004054955,0.0003636159,0.0003352386,0.0003427302,0.000359055,0.0003970119,0.001829326],"category_scores_gemma":[0.0002777237,0.0001601898,0.0003637834,0.0004161304,0.0001655775,0.000235635,0.0001887741,0.0003722045,0.0004341698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005759664,"about_ca_system_score_gemma":0.000249768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367119,"about_ca_topic_score_gemma":0.001473929,"domain_scores_codex":[0.9998982,0.00001525686,0.000008418247,0.00002502767,0.00003281566,0.0000202763],"domain_scores_gemma":[0.9998191,0.00003700092,0.00003913995,0.0000134827,0.00004097625,0.00005038243],"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":[0.001576866,0.0001517609,0.00448358,0.0003776975,0.00009653166,0.001007146,0.0002759533,0.003613057,0.9762049,0.001259371,0.001093909,0.00985914],"study_design_scores_gemma":[0.0003460321,0.00187626,0.1453868,0.0001414312,0.0005266737,0.006374549,0.001019979,0.04704469,0.7373734,0.002406272,0.05736789,0.0001359352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924165,0.002822208,0.001361426,0.0001225585,0.00002106702,0.00002132312,0.001224746,0.00007253925,0.001937629],"genre_scores_gemma":[0.9902948,0.001029313,0.002659783,0.00008135414,0.00001163457,0.00001602609,0.005005186,0.00002694739,0.0008749293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001829326,"threshold_uncertainty_score":0.006119728,"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."}}