{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008012684,0.0002094052,0.0003074875,0.001487104,0.0008641789,0.00005749606,0.001278422,0.0004800486,0.000003297063],"category_scores_gemma":[0.0001378521,0.0002116784,0.0001207766,0.0008418464,0.0003522233,0.0003290598,0.0002103144,0.0004990841,0.000001380488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009768818,"about_ca_system_score_gemma":0.0002260363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003783797,"about_ca_topic_score_gemma":0.000005220413,"domain_scores_codex":[0.997999,0.0001990849,0.0001961523,0.000725623,0.0004882432,0.0003918579],"domain_scores_gemma":[0.9978375,0.000270291,0.0002391233,0.0009824389,0.0005630422,0.0001075689],"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":[0.004356432,0.001961851,0.0006631515,0.004703553,0.0009250338,0.002080189,0.001250996,0.01311847,0.1294965,0.7703225,0.005181603,0.06593972],"study_design_scores_gemma":[0.01013396,0.004334105,0.001945765,0.01191951,0.0003940648,0.00009315915,0.009792404,0.4742031,0.2448369,0.231503,0.007246541,0.003597506],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09042853,0.0002282186,0.9067656,0.0005254219,0.0002526772,0.0007450152,0.0001754762,0.0003132861,0.0005657313],"genre_scores_gemma":[0.7623147,0.0005030438,0.2307836,0.00001609628,0.00009289063,0.00002360647,0.001389488,0.0000733851,0.004803222],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6759821,"threshold_uncertainty_score":0.8631996,"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."}}