{"id":"W2415288055","doi":"10.1038/srep19818","title":"Estimating the minimum control count of random network models","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Controllability; Measure (data warehouse); Null model; Computer science; Random graph; Complex network; Control (management); Network model; Null (SQL); Network analysis; Mathematics; Statistics; Mathematical optimization; Theoretical computer science; Data mining; Applied mathematics; Artificial intelligence; Combinatorics","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":[0.002118902,0.0001149914,0.0002711019,0.00003924987,0.0002731218,0.00009906347,0.0001970801,0.00001846515,0.0002550427],"category_scores_gemma":[0.00001956028,0.0000594849,0.0001960087,0.0002904446,0.0002592448,0.0001271744,0.00006712016,0.00005250888,0.000004566112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001457107,"about_ca_system_score_gemma":0.00007029347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005928228,"about_ca_topic_score_gemma":0.000005072153,"domain_scores_codex":[0.9983631,0.00007123016,0.0005729078,0.0003680774,0.0003516186,0.0002730117],"domain_scores_gemma":[0.9981194,0.0002069365,0.0005517618,0.000882574,0.0001918896,0.00004747873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001326924,0.0003541822,0.1415188,0.00003198392,0.0009453152,0.0000597348,0.0008715842,0.3013322,0.02154959,0.04286811,0.3656156,0.1247202],"study_design_scores_gemma":[0.0006305276,0.00001481635,0.0002974703,0.0001497465,0.000133703,0.000007456872,0.00003034188,0.2515025,0.002040228,0.7375591,0.007425293,0.0002087596],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2333688,0.0001250988,0.7582924,0.000221878,0.001737496,0.0004133404,0.000004991446,0.00006093556,0.005775055],"genre_scores_gemma":[0.9956249,2.246843e-7,0.00300422,0.0000102717,0.0003453176,0.00003954178,0.000006251717,0.00001003384,0.0009592467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7622561,"threshold_uncertainty_score":0.2792539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172927252332738,"score_gpt":0.2449182254877455,"score_spread":0.2331889529644181,"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."}}