{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004019565,0.0001378196,0.0004446601,0.0001509191,0.0001923195,0.0001995674,0.00009231875,0.00004298068,0.0000880195],"category_scores_gemma":[0.0001576937,0.0001290113,0.0002355344,0.001217219,0.0001693058,0.0001321074,0.00005622295,0.00008264432,2.574532e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005630715,"about_ca_system_score_gemma":0.00002845048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004589189,"about_ca_topic_score_gemma":0.0006566235,"domain_scores_codex":[0.99788,0.0001995873,0.0006185865,0.0008090903,0.0001934661,0.0002992012],"domain_scores_gemma":[0.9983175,0.0002727642,0.0002896767,0.0007941113,0.0002363662,0.00008962154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001373353,0.0001055902,0.9863739,0.000006824811,0.00009971807,4.795152e-7,0.00004949654,0.001753925,0.0001469009,0.0009634403,0.0003768823,0.01010909],"study_design_scores_gemma":[0.000191303,0.000008391838,0.5526274,0.000005224576,0.0001880301,1.835023e-7,0.00001254625,0.3565427,0.0002446458,0.0884243,0.001629854,0.0001254454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8819253,0.00003294117,0.1166711,0.00006865404,0.0003918365,0.0005157539,0.000004318438,0.00007205769,0.0003179779],"genre_scores_gemma":[0.9982432,3.444013e-7,0.001276078,0.000006524624,0.00005240228,0.00008373072,0.0002191548,0.000006048175,0.0001124999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4337465,"threshold_uncertainty_score":0.5260929,"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."}}