{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003642502,0.001440592,0.001289089,0.002717628,0.0009117641,0.006097507,0.00517115,0.001621714,0.006569326],"category_scores_gemma":[0.01334875,0.001184251,0.00196332,0.003485774,0.001132332,0.008940582,0.005698159,0.002639219,0.002670514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360184,"about_ca_system_score_gemma":0.002168863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005855026,"about_ca_topic_score_gemma":0.006012671,"domain_scores_codex":[0.9966571,0.0007992493,0.000444442,0.0006033123,0.001222358,0.000273498],"domain_scores_gemma":[0.9933344,0.00170405,0.0003313569,0.003426098,0.0008339308,0.0003702332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001814719,0.0003159295,0.008628903,0.001491987,0.0005388198,0.0005597016,0.001401298,0.03415604,0.0250775,0.2448921,0.2033287,0.4777943],"study_design_scores_gemma":[0.0004705528,0.0004364266,0.002053281,0.0003540322,0.0002886786,0.001156793,0.0006241241,0.3929759,0.05534007,0.2309953,0.3149927,0.0003121569],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006827001,0.0008616744,0.8948014,0.0006317892,0.0001524188,0.0003469056,0.005846601,0.08622141,0.004310789],"genre_scores_gemma":[0.1426635,0.001697789,0.8086345,0.001150756,0.0001746149,0.0009170428,0.02659115,0.01345263,0.00471796],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006569326,"threshold_uncertainty_score":0.02197659,"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."}}