{"id":"W2167955508","doi":"10.1128/mcb.25.8.2981-2994.2005","title":"Genome-Wide Prediction and Analysis of Yeast RNase III-Dependent snoRNA Processing Signals","year":2005,"lang":"en","type":"article","venue":"Molecular and Cellular Biology","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Small nucleolar RNA; Biology; RNase P; Intron; Ribosomal RNA; Ribonuclease III; Saccharomyces cerevisiae; RNA; Genetics; In silico; Tiling array; Non-coding RNA; Gene; Gene expression; Molecular biology; Computational biology; Transcriptome; RNA interference","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":[0.0002884043,0.0005768726,0.000540527,0.0007215384,0.0001761607,0.0004998818,0.0001817937,0.0002431816,0.0005387287],"category_scores_gemma":[0.0003945692,0.0001442326,0.0004649356,0.0006062132,0.0000816498,0.0001110516,0.000215061,0.0002851154,0.0006113062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001734985,"about_ca_system_score_gemma":0.0002508522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000913176,"about_ca_topic_score_gemma":0.001403964,"domain_scores_codex":[0.999841,0.00001986198,0.00001229754,0.00007442894,0.00003820066,0.00001413418],"domain_scores_gemma":[0.9997869,0.00006273054,0.00006927454,0.00001491434,0.00003350447,0.00003273312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00127297,0.0001167097,0.05784681,0.0008714936,0.0004070686,0.0009851217,0.0001103204,0.003955613,0.881435,0.0003812242,0.001432534,0.0511851],"study_design_scores_gemma":[0.0001922754,0.0006072187,0.5351045,0.0001333286,0.00111678,0.00243552,0.0003263977,0.05709908,0.3673047,0.001049388,0.03452914,0.0001016655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680473,0.006016956,0.01179629,0.00006209485,0.00003087804,0.00004756901,0.01266894,0.0005734098,0.000756527],"genre_scores_gemma":[0.9178247,0.002260219,0.02111884,0.00006319539,0.00002426107,0.00005364555,0.05782108,0.0001168673,0.0007170884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000913176,"threshold_uncertainty_score":0.001815796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006818676919002242,"score_gpt":0.2397693769492978,"score_spread":0.2329507000302956,"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."}}