{"id":"W2168278822","doi":"10.1261/rna.1194009","title":"Identification and comparative analysis of telomerase RNAs from <i>Candida</i> species reveal conservation of functional elements","year":2009,"lang":"en","type":"article","venue":"RNA","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Università degli Studi di Perugia; Univerzita Komenského v Bratislave; Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; Fogarty International Center; Chiba University; United States-Israel Binational Science Foundation","keywords":"Biology; Genetics; Conserved sequence; Kluyveromyces lactis; Pseudoknot; Telomerase; Telomerase RNA component; Saccharomyces cerevisiae; RNA; Small nucleolar RNA; Ribonucleoprotein; Gene; Evolutionary biology; Non-coding RNA; Telomerase reverse transcriptase; Peptide sequence","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":[0.0000533913,0.00004868628,0.0001116568,0.00005967977,0.00002275238,0.000006704966,0.00002926514,0.0000284311,0.00004733173],"category_scores_gemma":[0.00001744135,0.0000478738,0.00004970716,0.0001376942,0.00004209556,0.000004839675,0.000008210348,0.00001221328,7.181883e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004460915,"about_ca_system_score_gemma":0.00001943072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001856614,"about_ca_topic_score_gemma":0.00002403473,"domain_scores_codex":[0.9995075,0.00002519224,0.0002111988,0.0001172582,0.00009872326,0.00004011035],"domain_scores_gemma":[0.9995871,0.000008442605,0.0001639625,0.0001117328,0.00009803672,0.00003079612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001313517,0.00005855425,0.05661072,0.000002867533,0.0001837457,1.023749e-7,0.00003270476,0.0001657476,0.9403366,0.0003633304,0.001699772,0.000414523],"study_design_scores_gemma":[0.0002515799,0.00003272382,0.7707468,0.000002844618,0.0001485146,7.853374e-8,0.00005244763,0.0005441509,0.2273832,0.000103302,0.0006949974,0.00003937512],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974004,0.00020985,0.001419625,0.000132171,0.00001717585,0.00005708245,0.0001209312,0.000002049076,0.0006406956],"genre_scores_gemma":[0.998449,0.00003111873,0.0001051935,0.0001450476,0.00002281646,0.000001548556,0.0008154752,0.000001091364,0.0004286778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7141361,"threshold_uncertainty_score":0.1952237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02276053500573664,"score_gpt":0.2679450222397192,"score_spread":0.2451844872339826,"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."}}