{"id":"W2165850410","doi":"10.1186/1756-0500-4-462","title":"Functional Genomics Assistant (FUGA): a toolbox for the analysis of complex biological networks","year":2011,"lang":"en","type":"article","venue":"BMC Research Notes","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Fondation Leducq; European Commission; King's College London; British Heart Foundation","keywords":"Biological network; Computer science; Toolbox; Systems biology; Functional genomics; Computational biology; Gene regulatory network; Context (archaeology); Inference; Genomics; Artificial intelligence; Biology; Genome; Gene; Genetics; Gene expression; Programming language","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":[0.001848261,0.002113929,0.0008687733,0.002553751,0.0005690056,0.001439874,0.002478527,0.0009311945,0.04328552],"category_scores_gemma":[0.006237276,0.0009043704,0.001472224,0.001273525,0.0006715473,0.00161376,0.001815444,0.001832292,0.01299305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007524542,"about_ca_system_score_gemma":0.0012703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002017059,"about_ca_topic_score_gemma":0.001902461,"domain_scores_codex":[0.999517,0.0001334941,0.00004701657,0.0001308366,0.0001249192,0.0000467877],"domain_scores_gemma":[0.9972691,0.001934517,0.0001701939,0.0002484529,0.000285023,0.00009275166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001065325,0.0002360927,0.005185121,0.003871647,0.0005268991,0.002074213,0.00121295,0.08276113,0.03905153,0.07766428,0.2270371,0.5593138],"study_design_scores_gemma":[0.0005023578,0.0002208519,0.004183704,0.0005419313,0.0001713934,0.002091255,0.0001934958,0.4735745,0.03683746,0.1668631,0.3146164,0.0002034926],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002847511,0.0003356927,0.8394535,0.0002092209,0.00007872348,0.000117099,0.006499202,0.14721,0.003249091],"genre_scores_gemma":[0.05685762,0.00112183,0.9021683,0.0004746092,0.00008196398,0.00166793,0.01273627,0.01828923,0.006602355],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04328552,"threshold_uncertainty_score":0.1448045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.324900467290071,"score_gpt":0.3675908522975609,"score_spread":0.04269038500748989,"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."}}