{"id":"W2127147859","doi":"10.1186/1471-2105-9-158","title":"Improving the prediction of mRNA extremities in the parasitic protozoan Leishmania","year":2008,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Wilfrid Laurier University; Centre hospitalier de l'Université Laval; Centre hospitalier universitaire de Québec","funders":"Canadian Institutes of Health Research; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Polyadenylation; RNA splicing; Biology; DNA microarray; Computational biology; splice; In silico; Genetics; Alternative splicing; Expressed sequence tag; Polypyrimidine tract; Untranslated region; Gene; Messenger RNA; RNA; Gene expression","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":[0.0006879311,0.0007088569,0.0003340247,0.0008071655,0.0002654722,0.0005184435,0.0003288779,0.0005998525,0.0008612669],"category_scores_gemma":[0.002100434,0.0002175299,0.0004771278,0.000523571,0.0001522091,0.0003396385,0.0003198082,0.0005164334,0.0008890379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002331876,"about_ca_system_score_gemma":0.0003636123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009782219,"about_ca_topic_score_gemma":0.001349497,"domain_scores_codex":[0.9996954,0.00007003146,0.00002852682,0.0001019267,0.00008032907,0.00002387208],"domain_scores_gemma":[0.9990634,0.0005078851,0.000116059,0.00004240737,0.0002213135,0.00004898102],"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":[0.001476963,0.0002693454,0.04759078,0.000721923,0.0001433781,0.0007787764,0.0002199667,0.09025242,0.6943511,0.0007139288,0.001210042,0.1622713],"study_design_scores_gemma":[0.00006914416,0.0006890688,0.02986035,0.00003800197,0.0001274071,0.0009001991,0.0001091651,0.7383552,0.2264908,0.0008605618,0.002469693,0.00003035137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8501517,0.0004385971,0.145762,0.00004859596,0.00001440572,0.0000555149,0.0008489132,0.002168506,0.0005117705],"genre_scores_gemma":[0.8068839,0.0002259949,0.1884484,0.00004503448,0.00001498795,0.00005223672,0.003501571,0.0001841723,0.0006436969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009782219,"threshold_uncertainty_score":0.003638148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669845954006209,"score_gpt":0.2490251544614015,"score_spread":0.2223266949213394,"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."}}