{"id":"W6999849622","doi":"","title":"Distributed Regular Path Query Matching and Optimization for Graph Database based on Spark","year":2016,"lang":"en","type":"dissertation","venue":"Research Repository (Delft University of Technology)","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NoSQL; Partition (number theory); Distributed database; Graph database; Relational database; Computation; Graph; SPARK (programming language); Path expression; Volume (thermodynamics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002035391,0.0009253787,0.001445939,0.00093181,0.001193122,0.002091604,0.00310974,0.0008327235,0.002253116],"category_scores_gemma":[0.003688463,0.0004590336,0.001345717,0.001857106,0.000663698,0.003053309,0.001858929,0.001128134,0.0005044583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175079,"about_ca_system_score_gemma":0.00381293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01019718,"about_ca_topic_score_gemma":0.009300685,"domain_scores_codex":[0.997007,0.0005374713,0.0002458651,0.0009065141,0.0008804959,0.0004227662],"domain_scores_gemma":[0.9982973,0.0005801268,0.0001228463,0.0004329706,0.0004067278,0.0001600193],"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":[0.00224569,0.001100092,0.007715531,0.0007536093,0.0003183863,0.0003627271,0.000663933,0.5369369,0.04009824,0.05525318,0.03319433,0.3213573],"study_design_scores_gemma":[0.0001625728,0.0001549544,0.0005609937,0.000005891668,0.00003326722,0.0001171112,0.0002166882,0.97393,0.009064585,0.01228535,0.003449231,0.00001940058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1612079,0.0009643849,0.8115552,0.0009485547,0.0001723446,0.0004972859,0.001099977,0.01729177,0.006262587],"genre_scores_gemma":[0.5072429,0.0002756221,0.4865974,0.000228854,0.00004824338,0.0003530435,0.00215149,0.0005289459,0.002573449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01019718,"threshold_uncertainty_score":0.02027565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342750842449292,"score_gpt":0.2540259510217504,"score_spread":0.2405984425972575,"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."}}