{"id":"W4395688995","doi":"10.1007/978-981-97-2387-4_26","title":"DYGL: A Unified Benchmark and Library for Dynamic Graph","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Computer science; Benchmark (surveying); Graph; Theoretical computer science; Cartography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005716974,0.0005166046,0.0004514878,0.001133134,0.0002640151,0.001024357,0.002448784,0.0002879461,0.00001223785],"category_scores_gemma":[0.00002444026,0.0004493846,0.0001778069,0.0007989952,0.0007967803,0.0008791817,0.001399915,0.0006447795,0.00001398872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004716838,"about_ca_system_score_gemma":0.0002612407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001764431,"about_ca_topic_score_gemma":0.00001022575,"domain_scores_codex":[0.9968886,0.00002119677,0.0003879058,0.001670073,0.0004390413,0.0005931734],"domain_scores_gemma":[0.9980283,0.000618262,0.0001325604,0.0009620957,0.00006767058,0.0001911473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007707535,0.00001454713,0.00000802563,0.0001341629,0.00002123624,0.00008559502,0.0005008521,0.0009506081,0.00005007394,0.5827654,0.00004399694,0.4154178],"study_design_scores_gemma":[0.0001305914,0.0001411355,0.00002324687,0.0002982347,0.000009692323,0.00005625239,1.583759e-7,0.292457,0.0001566936,0.7042388,0.002082106,0.0004060523],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00008881409,0.002111241,0.9905349,0.00123824,0.002327673,0.0005121541,0.00003338996,0.0003361652,0.002817435],"genre_scores_gemma":[0.108889,0.0003181132,0.8829972,0.002831426,0.0005475196,0.00005369449,0.00004070635,0.0001283212,0.004193998],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4150117,"threshold_uncertainty_score":0.9997958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007923577022929977,"score_gpt":0.2202210773330021,"score_spread":0.2122975003100721,"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."}}