{"id":"W2970388638","doi":"10.1016/j.cherd.2019.08.015","title":"Complex system decomposition for distributed state estimation based on weighted graph","year":2019,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Graph; Nonlinear system; Directed graph; Computer science; Node (physics); Algorithm; Modular decomposition; State (computer science); Process (computing); Decomposition; Connection (principal bundle); Graph theory; Mathematics; Theoretical computer science; Mathematical optimization; Line graph; Combinatorics; Pathwidth; Engineering","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":[0.0007308755,0.001103909,0.001176345,0.0009909568,0.0004957797,0.0008100449,0.0007780982,0.0006591728,0.002220967],"category_scores_gemma":[0.002674739,0.0004775725,0.001213313,0.0008765169,0.0004674127,0.001031876,0.0008945036,0.001110514,0.0004055779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007171722,"about_ca_system_score_gemma":0.0009628123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01240483,"about_ca_topic_score_gemma":0.009891453,"domain_scores_codex":[0.9995624,0.0001317039,0.00002344862,0.0001555751,0.00008797129,0.00003885229],"domain_scores_gemma":[0.9988478,0.0007138167,0.0001162323,0.00009712217,0.0001907199,0.00003419272],"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":[0.0000506095,0.00003380921,0.0004406069,0.00006597991,0.00006718053,0.00005914604,0.00004573823,0.9359109,0.002961812,0.01053962,0.0005386514,0.04928592],"study_design_scores_gemma":[0.000001471605,0.000004286523,0.00005314623,0.000001512627,0.000004746006,0.000003790097,0.000002302652,0.9970787,0.0001252379,0.002632684,0.00009021282,0.000002078635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003462361,0.00003361034,0.9960943,0.00001920764,0.00000553748,0.00001360303,0.00004441683,0.00009691892,0.0002299763],"genre_scores_gemma":[0.4823545,0.0002805199,0.5130488,0.00006408565,0.00004035184,0.0003211693,0.000785061,0.0001695382,0.002936027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01240483,"threshold_uncertainty_score":0.02466524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005100130028781583,"score_gpt":0.2079613369369457,"score_spread":0.2028612069081642,"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."}}