{"id":"W139568493","doi":"10.1023/a:1019258807615","title":"A Graphical Approach to Allocating Class Fragments in Distributed Objectbase Systems","year":2001,"lang":"en","type":"article","venue":"Distributed and Parallel Databases","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Overhead (engineering); Scheme (mathematics); Mathematical optimization; Optimization algorithm; Mathematics","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":[0.001432517,0.000799084,0.0006992935,0.001383201,0.001086479,0.003273319,0.004031214,0.001366342,0.01118852],"category_scores_gemma":[0.004280206,0.0008957552,0.001192115,0.001573583,0.001817485,0.003619215,0.002444275,0.001803018,0.001788042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009799014,"about_ca_system_score_gemma":0.0009788806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004588507,"about_ca_topic_score_gemma":0.009088657,"domain_scores_codex":[0.9988055,0.0003875619,0.00008932815,0.0001601942,0.0004130945,0.0001443417],"domain_scores_gemma":[0.9981844,0.0006767398,0.000107263,0.0006432876,0.000248837,0.0001395691],"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":[0.0008693324,0.0002599783,0.001063495,0.0005171138,0.0001175873,0.0004139401,0.000828817,0.1368856,0.02862717,0.4060226,0.01289436,0.4115],"study_design_scores_gemma":[0.0002281204,0.0001935822,0.0003723634,0.0001090304,0.0001934637,0.0003911131,0.0001896545,0.7390787,0.0317519,0.1782856,0.04911197,0.00009458658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002493567,0.00007578188,0.9933764,0.0001269259,0.00002463337,0.00004145477,0.00003834272,0.002349942,0.001472882],"genre_scores_gemma":[0.1022616,0.0002534956,0.8916407,0.0001738006,0.0000426594,0.0001629728,0.0001488664,0.0006202619,0.004695639],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01118852,"threshold_uncertainty_score":0.03742939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504905354678096,"score_gpt":0.2473326446568651,"score_spread":0.2222835911100841,"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."}}