{"id":"W3167861891","doi":"10.1145/3447548.3467359","title":"Graph Summarization with Controlled Utility Loss","year":2021,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Automatic summarization; Computer science; Scalability; Theoretical computer science; Graph; Lossless compression; PageRank; Algorithm; Artificial intelligence; Data compression","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":[0.000142944,0.00006084623,0.0001058188,0.00003293278,0.00005595939,0.0002347655,0.0003003128,0.00001310405,0.0001049123],"category_scores_gemma":[0.00001532611,0.00004253078,0.00002804241,0.0004073834,0.00001931651,0.0005550242,0.0001743069,0.00003098986,0.00002814923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000038784,"about_ca_system_score_gemma":0.00002723656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001082135,"about_ca_topic_score_gemma":0.00002766127,"domain_scores_codex":[0.9993443,0.00003328536,0.00009379421,0.0002427447,0.0001674833,0.0001183337],"domain_scores_gemma":[0.9994135,0.0000261498,0.00002764027,0.0004188757,0.00008012144,0.00003369185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006498153,0.0003113489,0.01656237,0.00002533829,0.0001541724,0.0002643873,0.0001234672,0.00004150916,0.00008455557,0.8591782,0.009194626,0.1139951],"study_design_scores_gemma":[0.02371594,0.000268834,0.06256407,0.00004937008,0.0001018879,0.00004062708,0.0002440452,0.7623062,0.007094225,0.05001688,0.09242552,0.001172455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001416163,0.00002408381,0.9581887,0.001113613,0.000112257,0.0001002481,0.000001177471,0.0001248294,0.03891893],"genre_scores_gemma":[0.8557307,0.00003398407,0.1272482,0.001249822,0.00005216871,0.00001965982,0.0000761257,0.0000065491,0.01558279],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8543146,"threshold_uncertainty_score":0.2263849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015932083788769,"score_gpt":0.2119066286791974,"score_spread":0.2017473078413096,"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."}}