{"id":"W2810219908","doi":"10.14778/3358701.3358704","title":"Online density bursting subgraph detection from temporal graphs","year":2019,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Scalability; Duration (music); Bounded function; Indecomposable module; Set (abstract data type); Burstiness; Combinatorics; Mathematics; Network packet; Computer network","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":[0.000223379,0.0001303002,0.0001674336,0.00008845774,0.0001101379,0.00008209521,0.0007715885,0.00004316368,0.000003609612],"category_scores_gemma":[0.00003662103,0.00009522572,0.0001615607,0.0003294571,0.00002873949,0.0003014056,0.000389714,0.0001732536,0.000009598071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004563163,"about_ca_system_score_gemma":0.00001364648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001306541,"about_ca_topic_score_gemma":0.00004016966,"domain_scores_codex":[0.9988822,0.000008418522,0.0002243918,0.0003282619,0.000360697,0.0001959955],"domain_scores_gemma":[0.9993261,0.0000359556,0.0002278399,0.0002133099,0.0001495397,0.0000472616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004064147,0.0002246408,0.2457244,0.00004566233,0.00008467807,8.163886e-7,0.0006699429,0.00003243377,0.7312617,0.006319476,0.0002004214,0.01539521],"study_design_scores_gemma":[0.001996063,0.0004059389,0.1806446,0.0004446336,0.0000953033,0.0000366073,0.0007341505,0.04339616,0.735818,0.03511808,0.0006057168,0.0007047262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997369,0.00008845425,0.0008036285,0.000374414,0.0006397344,0.0002300834,0.00000416394,0.0001142996,0.0003762163],"genre_scores_gemma":[0.9982903,0.00001054685,0.001366419,0.000149574,0.00004767681,0.000005499247,0.000001118596,0.000007011452,0.0001218611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06507984,"threshold_uncertainty_score":0.3883192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022655962471249,"score_gpt":0.1924149618211225,"score_spread":0.18218840219641,"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."}}