{"id":"W2012570951","doi":"10.1371/journal.pntd.0000810","title":"Functional Genome Annotation by Combined Analysis across Microarray Studies of Trypanosoma brucei","year":2010,"lang":"en","type":"article","venue":"PLoS neglected tropical diseases","topic":"Trypanosoma species research and implications","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University; Princeton University","keywords":"Trypanosoma brucei; Biology; Gene; Genome; Computational biology; Gene Annotation; DNA microarray; Gene expression profiling; Genetics; Genome project; Gene prediction; Functional genomics; Gene expression; Untranslated region; Microarray analysis techniques; Model organism; Regulation of gene expression; Genomics; Messenger RNA","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":[0.0007515466,0.0004745147,0.0006751604,0.001336888,0.0003947965,0.0007796457,0.0002782362,0.0003906258,0.001441242],"category_scores_gemma":[0.001080507,0.0001889024,0.0007383332,0.00165289,0.0001554296,0.0004143232,0.0004737362,0.0005217616,0.0006120589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003737823,"about_ca_system_score_gemma":0.0003382812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009660448,"about_ca_topic_score_gemma":0.002355792,"domain_scores_codex":[0.9994165,0.0001388824,0.0000538376,0.0001591131,0.0001545516,0.00007715646],"domain_scores_gemma":[0.9992977,0.0002660893,0.0001119475,0.00008186483,0.0002027216,0.00003958075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002787114,0.00003414011,0.009051672,0.0004804321,0.0001080785,0.00007121534,0.000069817,0.0003532388,0.9706658,0.0001410561,0.0005590125,0.01818683],"study_design_scores_gemma":[0.00007480586,0.0008193283,0.4624539,0.0001576032,0.001105784,0.001384695,0.0006488282,0.02444435,0.477327,0.001913489,0.02957409,0.00009601755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8557909,0.01290268,0.09992988,0.0008686075,0.0001907377,0.0002495542,0.02468349,0.001227792,0.00415619],"genre_scores_gemma":[0.7625312,0.004377923,0.181287,0.0004008261,0.0001224612,0.0006051417,0.04836215,0.0002521567,0.002061185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001441242,"threshold_uncertainty_score":0.00482142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02826068435172007,"score_gpt":0.321155777046692,"score_spread":0.2928950926949719,"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."}}