{"id":"W2123122241","doi":"10.1109/ccece.1995.528208","title":"Computer communication technology and its effects on distributed query optimization strategies","year":2002,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Heuristics; Computer science; Query optimization; Heuristic; Premise; Distributed database; Distributed computing; Sargable; Data mining; Web search query; Information retrieval; Artificial intelligence; Search engine","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":[0.002490418,0.0005261147,0.0004457457,0.0008661039,0.0008204799,0.001736009,0.0004805889,0.0009317793,0.002953679],"category_scores_gemma":[0.02476673,0.0003544985,0.0002606025,0.001925391,0.001073508,0.002491226,0.0008237337,0.0008251267,0.0003694656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001408203,"about_ca_system_score_gemma":0.001131334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002929623,"about_ca_topic_score_gemma":0.001975745,"domain_scores_codex":[0.9980752,0.0009621787,0.00007519883,0.0001580187,0.000403651,0.0003256221],"domain_scores_gemma":[0.9744627,0.02215694,0.00125079,0.0007927203,0.001054846,0.0002819768],"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":[0.0007234483,0.0002677478,0.007800579,0.0002181174,0.00006929427,0.0007018244,0.0003639427,0.7866095,0.008190161,0.09290244,0.00288899,0.09926394],"study_design_scores_gemma":[0.0001593886,0.0004972881,0.005183574,0.00005714432,0.0001363971,0.0007331269,0.0004248058,0.9120125,0.0108352,0.06164141,0.008262455,0.00005667103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6031253,0.0107027,0.2958736,0.004353031,0.0003933845,0.0001763102,0.0001471164,0.0005442433,0.08468428],"genre_scores_gemma":[0.9845901,0.001353635,0.01226388,0.0000909132,0.00007001771,0.00003676323,0.0000144936,0.00004200704,0.001537988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002953679,"threshold_uncertainty_score":0.01317072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009854206907523146,"score_gpt":0.2098214328454008,"score_spread":0.1999672259378776,"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."}}