{"id":"W3105546395","doi":"10.1007/978-3-319-89932-9_9","title":"Dynamics of Large-Scale Networks Following a Merger","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in social networks","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Network dynamics; Server; Observable; Dynamics (music); Network structure; Scale (ratio); Distributed computing; Computer network; Physics; Mathematics; Geography; Cartography","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004417109,0.0007087608,0.001417383,0.0002031078,0.0002693899,0.00005293942,0.0005500602,0.0009840592,0.002050304],"category_scores_gemma":[0.00000759637,0.0007462491,0.001281649,0.0003230509,0.0002031649,0.0000622302,0.0003384584,0.001516127,0.000007406825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001832131,"about_ca_system_score_gemma":0.00006196459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008493647,"about_ca_topic_score_gemma":0.00140287,"domain_scores_codex":[0.9971737,0.00008587575,0.0008990985,0.000687199,0.0003805816,0.0007735365],"domain_scores_gemma":[0.9982101,0.0003078483,0.0006926385,0.0005596256,0.0001444769,0.00008532647],"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":[0.0003886731,0.0007062337,0.04126398,0.0001446475,0.007584616,0.00007117433,0.004682054,0.3298319,0.00001384721,0.2791588,0.04918132,0.2869727],"study_design_scores_gemma":[0.0007199213,0.00009327326,0.0001739292,0.0006307336,0.0009157227,6.155291e-7,0.00003461572,0.5839988,0.00001145294,0.3923805,0.01942619,0.001614254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000356544,0.001003596,0.912541,0.0001298475,0.0005964426,0.0004541432,0.00005629435,0.0001201929,0.08474196],"genre_scores_gemma":[0.983066,0.00004735521,0.0021385,0.0001676745,0.008857142,0.00003412128,0.0009848876,0.0002200157,0.004484267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9827095,"threshold_uncertainty_score":0.9994988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007738008696039682,"score_gpt":0.2594924146083544,"score_spread":0.2517544059123147,"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."}}