{"id":"W2624082338","doi":"10.1145/3078447.3078459","title":"Do We Need Specialized Graph Databases?","year":2017,"lang":"en","type":"article","venue":"","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Graph database; Benchmarking; RDF; Wait-for graph; Graph; Architecture; Workload; Relational database management system; Database; Relational database; Theoretical computer science; Distributed computing; Information retrieval; Semantic Web; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003058593,0.0001040216,0.0001222967,0.00008008493,0.0005219014,0.0005464666,0.001833019,0.0000225735,0.0002529867],"category_scores_gemma":[0.00004819571,0.0000819151,0.00008226771,0.000107495,0.000101755,0.0009773186,0.0004937397,0.00007832795,0.0002360099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000378203,"about_ca_system_score_gemma":0.0000176759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003655117,"about_ca_topic_score_gemma":0.000009459306,"domain_scores_codex":[0.9991441,0.00004068526,0.0001176956,0.000304462,0.0001715782,0.0002215279],"domain_scores_gemma":[0.998009,0.00004271803,0.00008560799,0.001732913,0.00003142847,0.00009838336],"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":[0.000003491721,0.00002622757,0.0002787426,0.000002208991,0.000008404935,0.00002064637,0.00008479175,6.474189e-7,0.000226298,0.9516867,0.002295919,0.04536593],"study_design_scores_gemma":[0.001472371,0.00006030679,0.006593189,0.00004785857,0.00001110514,0.00002895464,0.00009102744,0.003598787,0.00830243,0.8111504,0.1680919,0.0005516594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006484997,0.0001737131,0.8989964,0.004081578,0.001724591,0.0001401731,0.000008132302,0.0002839318,0.08810654],"genre_scores_gemma":[0.8092802,0.0002558094,0.1822557,0.0006796474,0.0005235923,0.00001403204,0.000004106812,0.00001592053,0.006971093],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8027951,"threshold_uncertainty_score":0.526959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04281900210434345,"score_gpt":0.2929908326249927,"score_spread":0.2501718305206492,"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."}}