{"id":"W4413827533","doi":"10.14778/3725688.3725702","title":"G-View: View Management for Graph Databases","year":2025,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Graph database; Database; Graph; Information retrieval; Theoretical computer science","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":[0.0004367026,0.0001527202,0.0001816814,0.0001575212,0.0001548634,0.0001417391,0.00208151,0.00001344548,0.000005517251],"category_scores_gemma":[0.00002390823,0.0001060524,0.0001288572,0.000667628,0.00004432453,0.0005555601,0.001840324,0.00005273581,0.000005838651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003307833,"about_ca_system_score_gemma":0.000009844149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001079685,"about_ca_topic_score_gemma":0.000001143375,"domain_scores_codex":[0.9987636,0.000004120002,0.0002830835,0.0003938288,0.0002885246,0.0002669028],"domain_scores_gemma":[0.9993135,0.00002914264,0.0001498436,0.0003834215,0.00009272903,0.00003134461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005783012,0.0001053623,0.0001865448,0.0006189101,0.0001086563,2.525989e-7,0.00003789128,0.000002056036,0.0002420674,0.816744,0.07242507,0.1095235],"study_design_scores_gemma":[0.001005379,0.00005979621,0.001037361,0.0005483097,0.0001411103,0.000001132688,0.0001444742,0.001800837,0.02286753,0.05230422,0.9198418,0.0002480948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003544098,0.006517343,0.704534,0.03543201,0.005577608,0.01131238,0.0001839076,0.0008202324,0.2320784],"genre_scores_gemma":[0.1798038,0.007274398,0.7526048,0.01013613,0.0003324845,0.003333531,0.00006298009,0.00007294657,0.04637884],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8474167,"threshold_uncertainty_score":0.432469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01973669552815375,"score_gpt":0.2653723834835918,"score_spread":0.245635687955438,"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."}}