{"id":"W3207951730","doi":"10.1080/08982112.2021.1974035","title":"Research in network monitoring: Connections with SPM and new directions","year":2021,"lang":"en","type":"article","venue":"Quality Engineering","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Framing (construction); Data science; Dissemination; Computer science; Management science; Process (computing); Operations research; Engineering; Telecommunications","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":[0.0003778969,0.00007860394,0.0001483368,0.00008314507,0.00009522661,0.00006099205,0.00004818739,0.00002080932,0.00004080323],"category_scores_gemma":[0.000009834672,0.00008390471,0.00002940757,0.000901747,0.00001487402,0.00006418922,0.00005590976,0.000280764,0.000001838803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003639929,"about_ca_system_score_gemma":0.00004645314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001335778,"about_ca_topic_score_gemma":0.0001519956,"domain_scores_codex":[0.999224,0.00006990185,0.0001530014,0.0001920421,0.0001189478,0.0002421073],"domain_scores_gemma":[0.9994194,0.0002307481,0.00001769773,0.000195671,0.0000587541,0.00007772863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001340562,0.0001531177,0.5750095,0.00004244113,0.0002580395,0.00001431771,0.0005558331,0.1648522,0.001286685,0.2240891,0.001201671,0.03252369],"study_design_scores_gemma":[0.002035649,0.0001854836,0.7080607,0.001416299,0.0001454901,0.00002298232,0.004572054,0.06065218,0.02176405,0.04907574,0.1500884,0.001980969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7949918,0.001087053,0.1965151,0.0008506918,0.0002123441,0.0001917828,0.000004044303,0.0002768495,0.005870364],"genre_scores_gemma":[0.9906594,0.00001293003,0.008357514,0.000001871487,0.0006427913,0.0000233628,0.00000540145,0.00001274546,0.0002839496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1956676,"threshold_uncertainty_score":0.3421535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08839421435576572,"score_gpt":0.3763475960840555,"score_spread":0.2879533817282898,"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."}}