{"id":"W4244218038","doi":"10.1007/978-0-387-39940-9_3121","title":"Multiprocessor Query Processing","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Multiprocessing; Parallel computing; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006586109,0.0005565101,0.0008044913,0.0003965888,0.000140111,0.0001202007,0.001673629,0.0003011746,0.00002419893],"category_scores_gemma":[0.00005583724,0.000509745,0.0001963471,0.0001534294,0.0001174634,0.0009569854,0.0003184316,0.0004914039,0.000124809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003923359,"about_ca_system_score_gemma":0.0002930193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002490605,"about_ca_topic_score_gemma":0.000003997411,"domain_scores_codex":[0.9969931,0.00006015322,0.0009083197,0.0008985999,0.0007351259,0.0004047123],"domain_scores_gemma":[0.9971038,0.0001251478,0.0008659387,0.001443172,0.0002626639,0.0001993381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000193539,0.0001258977,0.0000137387,0.002130609,0.00009926483,0.000295085,0.0006907093,0.00005986109,0.00008985017,0.724134,0.005355122,0.2669865],"study_design_scores_gemma":[0.0007133438,0.0002157258,0.00001564735,0.005266318,0.0001126602,0.0001645205,0.00006223271,0.007139067,0.0001314666,0.01836652,0.9661561,0.00165645],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001868989,0.01092671,0.1062764,0.00005760035,0.001757257,0.0007300345,0.0004422346,0.0003683701,0.8794227],"genre_scores_gemma":[0.00596281,0.003235595,0.03530987,0.0001877055,0.002191719,0.00008086951,0.0006623627,0.0001841817,0.9521849],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9608009,"threshold_uncertainty_score":0.9997354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358211183806101,"score_gpt":0.2284400099015468,"score_spread":0.2148578980634857,"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."}}