{"id":"W2064355019","doi":"10.5555/3191835.3191960","title":"Handling incomplete data using semantic logging based social network analysis hexagon for effective application monitoring and management","year":2014,"lang":"en","type":"article","venue":"Advances in Social Networks Analysis and Mining","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Structuring; Network monitoring; Data mining; Network management; Unstructured data; Semantics (computer science); Process (computing); Data science; Big data; Programming language","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":[0.001073382,0.0002175808,0.0005810072,0.0004233423,0.000954501,0.0002131738,0.0004987054,0.00008130703,3.049786e-7],"category_scores_gemma":[0.000005377209,0.0002210345,0.0001354385,0.002894623,0.0000498749,0.0004911178,0.0004683336,0.0001211794,5.260652e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003476949,"about_ca_system_score_gemma":0.000006290893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001229302,"about_ca_topic_score_gemma":0.0009171853,"domain_scores_codex":[0.9980284,0.0001717569,0.0003643268,0.0008098033,0.0001935471,0.0004321672],"domain_scores_gemma":[0.998737,0.0005135112,0.0003062049,0.0003376429,0.00005078144,0.0000548624],"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":[0.00002009212,0.00001584657,0.08379864,0.00009675358,0.0008608863,0.000001025376,0.0008953034,0.5911438,0.00001064268,0.001495981,9.965559e-7,0.32166],"study_design_scores_gemma":[0.0003765618,0.0000168943,0.02480878,0.00005138336,0.001909053,1.974114e-7,0.0003106667,0.9707701,0.00000453814,0.0007613605,0.0007594437,0.0002309857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06438519,0.002008516,0.9330583,0.00007601952,0.0001073887,0.0002650308,0.000002891594,0.00004302538,0.00005370599],"genre_scores_gemma":[0.9187684,0.0002280588,0.07995623,0.0001406183,0.0007771591,0.00004891926,0.00006825331,0.00001151472,8.111688e-7],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8543832,"threshold_uncertainty_score":0.9013526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381722031259293,"score_gpt":0.3010283181334983,"score_spread":0.2872110978209054,"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."}}