{"id":"W1998708803","doi":"10.1038/srep05399","title":"Controllability and observability analysis for vertex domination centrality in directed networks","year":2014,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Centrality; Network controllability; Observability; Controllability; Vertex (graph theory); Betweenness centrality; Computer science; Complex network; Network analysis; Node (physics); Network science; Network theory; Weighted network; Linear subspace; Topology (electrical circuits); Mathematics; Theoretical computer science; Combinatorics; Graph; Physics; Pure 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":[0.001957478,0.0005256658,0.0004834162,0.002981143,0.0007383832,0.001334453,0.0006948456,0.0004998661,0.001751294],"category_scores_gemma":[0.01567255,0.0001965043,0.0007238842,0.001753084,0.001528305,0.002172638,0.001010266,0.0008663723,0.0001152294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235489,"about_ca_system_score_gemma":0.0006648511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002208123,"about_ca_topic_score_gemma":0.001918214,"domain_scores_codex":[0.9989177,0.0003128909,0.00005377554,0.0002718028,0.0003328477,0.0001109457],"domain_scores_gemma":[0.9847062,0.01160796,0.001556418,0.0006370003,0.001010962,0.0004814841],"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":[0.0002511628,0.0001446219,0.02340439,0.0002000412,0.0001435663,0.0004059372,0.00068704,0.5141482,0.01662959,0.3652905,0.001042575,0.07765246],"study_design_scores_gemma":[0.00001086757,0.00005314741,0.0041829,0.00001451097,0.00002578363,0.0001176131,0.00009184012,0.8975682,0.001821872,0.09550361,0.0005827681,0.00002676858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1669149,0.0002256738,0.8287529,0.0001721838,0.00001226785,0.00006944633,0.000202522,0.0001360142,0.003514085],"genre_scores_gemma":[0.9584725,0.000169007,0.04026914,0.00002682433,0.00003134363,0.00009118477,0.0002257547,0.00002745493,0.0006868661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002981143,"threshold_uncertainty_score":0.01035225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100810977067671,"score_gpt":0.2557331580790155,"score_spread":0.2456520603722484,"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."}}