{"id":"W2069157810","doi":"10.1038/nbt.1558","title":"The Systems Biology Graphical Notation","year":2009,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":947,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research; Terry Fox Research Institute","funders":"National Institute of General Medical Sciences; National Cancer Institute; Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; National Institutes of Health","keywords":"Computer science; Notation; SBML; Systems biology; Representation (politics); Visualization; Process (computing); Unified Modeling Language; Ambiguity; Programming language; Software; Theoretical computer science; Artificial intelligence; World Wide Web; Bioinformatics; XML; Biology; Linguistics","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":[0.002337641,0.002498456,0.001162355,0.002553221,0.0008427054,0.005688606,0.002480367,0.001707441,0.07150786],"category_scores_gemma":[0.008409891,0.001016948,0.002087225,0.002683817,0.00160558,0.00445554,0.002597233,0.003823628,0.04350071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009756646,"about_ca_system_score_gemma":0.001750016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001802216,"about_ca_topic_score_gemma":0.001441601,"domain_scores_codex":[0.9981812,0.0008158209,0.0002315225,0.0003636979,0.0002945196,0.0001132393],"domain_scores_gemma":[0.9963734,0.00192351,0.0002585884,0.0007400319,0.0005170056,0.0001874499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001365005,0.00004106681,0.0002649717,0.0009506366,0.00005393463,0.0003805741,0.0002991064,0.006715556,0.003208324,0.6973361,0.209721,0.08089211],"study_design_scores_gemma":[0.00005364819,0.0000366162,0.00007041619,0.0001452449,0.00004069299,0.0003848508,0.00004964013,0.01498544,0.002464718,0.28518,0.6965486,0.00004001475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004358876,0.0005517492,0.9412665,0.001358886,0.0007356884,0.0001704927,0.008905295,0.02103076,0.0255447],"genre_scores_gemma":[0.03781581,0.002100605,0.8953114,0.002691914,0.0006758032,0.001418831,0.01895961,0.006130418,0.03489551],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07150786,"threshold_uncertainty_score":0.2392176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002512996625194733,"score_gpt":0.2265076717826811,"score_spread":0.2239946751574863,"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."}}