{"id":"W1913063272","doi":"10.1109/ideas.1999.787292","title":"Measuring the performance of database object horizontal fragmentation schemes","year":2003,"lang":"en","type":"article","venue":"","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Fragmentation (computing); Distributed database; Schema (genetic algorithms); Horizontal and vertical; Database; Database schema; Object-based spatial database; Object (grammar); Distributed object; Database design; Spatial database; Information retrieval; Spatial analysis; Artificial intelligence; Geography; Programming language; Remote sensing","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":[0.007109931,0.0007058088,0.000815741,0.002448221,0.0009141894,0.001349546,0.001531616,0.001290221,0.001069496],"category_scores_gemma":[0.03550009,0.0003564403,0.0003589953,0.003386608,0.0009012265,0.00369676,0.001318539,0.0007887991,0.0004588884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594883,"about_ca_system_score_gemma":0.0007843449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001346939,"about_ca_topic_score_gemma":0.0006597489,"domain_scores_codex":[0.9892346,0.002060371,0.001457822,0.001126833,0.00494145,0.001179054],"domain_scores_gemma":[0.9466194,0.02312684,0.005686018,0.01416165,0.00910496,0.00130114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009659485,0.002109707,0.08773342,0.0007904131,0.0006990454,0.0002909161,0.0009998096,0.2108579,0.2149712,0.01037089,0.004301206,0.457216],"study_design_scores_gemma":[0.0003614732,0.009162639,0.06392289,0.00009273622,0.0003741942,0.001458912,0.0006705353,0.4836048,0.4280125,0.005797352,0.006290563,0.0002513946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659722,0.0009581535,0.02883131,0.0001047409,0.00004885575,0.0001614431,0.0003520538,0.0009638082,0.002607384],"genre_scores_gemma":[0.9810343,0.0002242677,0.01738262,0.00002620949,0.00001796314,0.00007575113,0.0005225266,0.00006365497,0.0006525833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007109931,"threshold_uncertainty_score":0.03760135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03794618526332032,"score_gpt":0.2530719964010556,"score_spread":0.2151258111377353,"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."}}