{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009419968,0.0003892816,0.0001939646,0.0007377867,0.0003377044,0.0004833977,0.0002022536,0.0003069733,0.0007100919],"category_scores_gemma":[0.0002897597,0.000153316,0.0003927928,0.000535754,0.0001577833,0.0001459231,0.0001915191,0.0003026362,0.0003388576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002119718,"about_ca_system_score_gemma":0.0002362874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001001394,"about_ca_topic_score_gemma":0.001608006,"domain_scores_codex":[0.9998834,0.000007062581,0.00001426279,0.00003977473,0.00003231705,0.00002307605],"domain_scores_gemma":[0.9997452,0.00004536438,0.00008582858,0.0000256463,0.00004523465,0.00005272709],"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":[0.0001849386,0.00001991853,0.003020043,0.0001180383,0.00002336275,0.0001380102,0.00005091489,0.0001012143,0.9917354,0.00008607966,0.00006483212,0.004457236],"study_design_scores_gemma":[0.00003825346,0.0005894381,0.3014458,0.00007334623,0.0002985559,0.00323507,0.0002575969,0.002151694,0.6787612,0.0002368549,0.01285643,0.00005576833],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934135,0.001930383,0.001343046,0.0000352518,0.00001693256,0.00003297066,0.001894725,0.00005113985,0.001282065],"genre_scores_gemma":[0.9780091,0.00166351,0.006342281,0.0001208367,0.00003192997,0.00006761703,0.01220327,0.0000531425,0.001508246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001001394,"threshold_uncertainty_score":0.002375543,"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."}}