{"id":"W2110605895","doi":"10.1109/icde.1988.105473","title":"Scheduling of page fetches in join operations using B/sub c/-trees","year":2003,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Join (topology); Computer science; Parallel computing; Scheduling (production processes); Processor scheduling; Operating system; Combinatorics; Mathematics; Mathematical optimization","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003891349,0.00008049914,0.0001466548,0.00009424491,0.00006086605,0.0000901293,0.0002881499,0.00003844159,0.000006989663],"category_scores_gemma":[0.00006170383,0.00007298555,0.00003754532,0.0004496303,0.00001754582,0.0002096497,0.00005475789,0.00006563801,0.000008714644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000222982,"about_ca_system_score_gemma":0.00009313443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000167088,"about_ca_topic_score_gemma":0.0001044777,"domain_scores_codex":[0.9991257,0.0001035588,0.0002812106,0.0001915071,0.0001263223,0.0001717415],"domain_scores_gemma":[0.9995583,0.00005089081,0.00004059695,0.0002641414,0.00004925106,0.00003680828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000114036,0.0001429989,0.01742504,0.00003013483,0.00001618887,0.00001181279,0.001239085,0.654237,0.05643242,0.2694483,0.00005270564,0.0009632253],"study_design_scores_gemma":[0.000289981,0.00001821015,0.001650994,0.00009075234,0.00000220116,0.0000172013,0.00020226,0.97805,0.01856067,0.0007658922,0.0001801208,0.0001717192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4738934,0.00007543727,0.5240712,0.00003630049,0.000102924,0.00004961548,6.300461e-7,0.00003190909,0.001738623],"genre_scores_gemma":[0.8956758,0.000001981791,0.104236,0.00002460913,0.00001267515,0.00000138092,0.000001067054,0.000003172886,0.00004335358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4217824,"threshold_uncertainty_score":0.2976265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03804984190519945,"score_gpt":0.2655486566398281,"score_spread":0.2274988147346286,"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."}}