{"id":"W4221007687","doi":"10.1093/bioinformatics/btac128","title":"SomaticSiMu: a mutational signature simulator","year":2022,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Western University","funders":"Compute Canada","keywords":"Python (programming language); Computer science; Visualization; Data mining; Signature (topology); Graphical user interface; Open source; Source code; Software; Computational biology; Artificial intelligence; Programming language; Biology","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":[0.0009803823,0.0009035626,0.0007683347,0.0006656665,0.0005151017,0.001113846,0.002694892,0.001299465,0.01673863],"category_scores_gemma":[0.003839654,0.000677746,0.001207,0.0005861474,0.0004660273,0.0009720377,0.001171845,0.001276773,0.004265107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008491931,"about_ca_system_score_gemma":0.001599783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003038043,"about_ca_topic_score_gemma":0.002943823,"domain_scores_codex":[0.9996215,0.0001114425,0.00002996551,0.00008070097,0.0001054676,0.00005097062],"domain_scores_gemma":[0.9988033,0.0007133177,0.00006685201,0.0001528519,0.0001607339,0.0001030043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001041236,0.0003571113,0.01401385,0.001406747,0.0004276163,0.0006869382,0.0004936528,0.7739179,0.02208645,0.03428656,0.088086,0.06319595],"study_design_scores_gemma":[0.0001179542,0.0000605903,0.0005386745,0.0000342155,0.00003182612,0.00009465953,0.00002897323,0.9543601,0.008827586,0.009572733,0.02629447,0.00003817806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.107845,0.0006542748,0.593205,0.0007725868,0.0005133826,0.0005706191,0.02957352,0.2414169,0.0254488],"genre_scores_gemma":[0.5709015,0.0007108388,0.3398574,0.001125043,0.000105279,0.002514633,0.03490559,0.03660979,0.01326996],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01673863,"threshold_uncertainty_score":0.0559963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008138215293260502,"score_gpt":0.222538426452493,"score_spread":0.2144002111592325,"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."}}