{"id":"W2108016516","doi":"10.1093/nar/gku816","title":"Computational identification of RNA functional determinants by three-dimensional quantitative structure–activity relationships","year":2014,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"National Institute of General Medical Sciences; National Cancer Institute; Canadian Institutes of Health Research","keywords":"Biology; RNA; Computational biology; Ribosome; Nucleic acid structure; Ribozyme; Hammerhead ribozyme; Ribosomal RNA; Mutagenesis; Ricin; 23S ribosomal RNA; Mutant; Genetics; 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":[0.0009344473,0.0009042546,0.001029637,0.001019258,0.0003468321,0.0007799066,0.0009498169,0.0008692464,0.001958908],"category_scores_gemma":[0.002299992,0.0007236493,0.0009561381,0.0005465496,0.0004509834,0.0005531088,0.0003843318,0.0007086458,0.0002636789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009898603,"about_ca_system_score_gemma":0.001491154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005585198,"about_ca_topic_score_gemma":0.006310046,"domain_scores_codex":[0.9997836,0.00008454882,0.00001211585,0.00004152751,0.00005139999,0.00002684928],"domain_scores_gemma":[0.9986874,0.001074534,0.00006310228,0.00004386982,0.00009230967,0.00003880695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001275239,0.0001003501,0.001616906,0.00005322447,0.00005032478,0.00004438025,0.00001359646,0.9875702,0.00262724,0.001410964,0.0002787181,0.006106591],"study_design_scores_gemma":[0.00001182793,0.00001206904,0.00005719642,5.854207e-7,0.000004513277,0.000002789995,0.000001997882,0.9993345,0.0003298783,0.0001998536,0.00004336398,0.000001418655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7496371,0.0006338815,0.2403666,0.0004004155,0.00004850153,0.000149078,0.001521544,0.00242797,0.004814888],"genre_scores_gemma":[0.919789,0.0001628218,0.07774886,0.00008895196,0.00001408331,0.0002173233,0.001210802,0.0001574368,0.0006106886],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005585198,"threshold_uncertainty_score":0.01110536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05794161622862416,"score_gpt":0.3321962338847606,"score_spread":0.2742546176561364,"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."}}