{"id":"W2066534603","doi":"10.1109/acc.2008.4586737","title":"Model reduction and consistency in discrete event representation of biological systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Petri net; Computer science; Consistency (knowledge bases); Representation (politics); Construct (python library); Theoretical computer science; Reduction (mathematics); Domain (mathematical analysis); Event (particle physics); Data mining; Distributed computing; Artificial intelligence; Programming language; Mathematics","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":[0.006460998,0.0009007942,0.001238594,0.001749377,0.0006391969,0.002838477,0.002703252,0.001299629,0.001580943],"category_scores_gemma":[0.01692697,0.0008055223,0.002673053,0.00150021,0.002977445,0.003049749,0.002738696,0.003066484,0.0004318587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001423684,"about_ca_system_score_gemma":0.001369763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00260771,"about_ca_topic_score_gemma":0.001604599,"domain_scores_codex":[0.9925033,0.003554485,0.0006093094,0.0009457502,0.00208435,0.0003027372],"domain_scores_gemma":[0.9890903,0.007832623,0.0006324039,0.001701433,0.0006259116,0.0001173603],"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":[0.0001376004,0.00009823463,0.001353333,0.0002109623,0.0001196991,0.0004314565,0.0006164571,0.4824673,0.002723525,0.4664724,0.0007908139,0.0445781],"study_design_scores_gemma":[0.00003230574,0.00004467931,0.000133923,0.00003195386,0.00003710816,0.00008962725,0.00006961331,0.6855551,0.002229376,0.3084611,0.003295431,0.00001974278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006689822,0.000149847,0.9915395,0.0002203828,0.00002031059,0.00006104172,0.00008179541,0.0003357243,0.0009014686],"genre_scores_gemma":[0.3310302,0.0004325734,0.6650503,0.0001594064,0.00008597873,0.0004597015,0.0008993525,0.0002345356,0.001647946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006460998,"threshold_uncertainty_score":0.03416944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03348530274365948,"score_gpt":0.2733377586909918,"score_spread":0.2398524559473323,"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."}}