{"id":"W2110993096","doi":"10.1145/1066157.1066176","title":"ConQuer","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":204,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Scalability; Set (abstract data type); Divide and conquer algorithms; Overhead (engineering); Rewriting; SQL; Consistency (knowledge bases); Query optimization; Spatial query; Key (lock); Query by Example; Query language; Data integrity; Workload; Theoretical computer science; Sargable; Programming language; Database; Information retrieval; Web search query; Artificial intelligence","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":[0.00365114,0.001771961,0.001488034,0.001514396,0.001969944,0.004150152,0.003905676,0.001732335,0.03263376],"category_scores_gemma":[0.01006447,0.0006044651,0.001515595,0.001868203,0.001672223,0.00671518,0.005530526,0.002733812,0.01001775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362246,"about_ca_system_score_gemma":0.002743956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004209016,"about_ca_topic_score_gemma":0.007173255,"domain_scores_codex":[0.9926618,0.001339622,0.000547221,0.001693449,0.002875523,0.0008823288],"domain_scores_gemma":[0.9933451,0.001590199,0.0004058738,0.002741143,0.001675971,0.0002415981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001076355,0.0004011407,0.00453495,0.001091248,0.0002494683,0.0006934111,0.0008848274,0.008647052,0.01300869,0.1653334,0.186629,0.6174504],"study_design_scores_gemma":[0.000434301,0.0003259181,0.001512834,0.000261927,0.0002057497,0.001325927,0.001020898,0.09263298,0.02891545,0.1755415,0.6977122,0.0001103067],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02329735,0.003469569,0.7969393,0.005483246,0.001602205,0.001642939,0.004869654,0.04252472,0.120171],"genre_scores_gemma":[0.1997959,0.002583436,0.6317158,0.005867752,0.0008445233,0.001491119,0.02066247,0.009235484,0.1278036],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03263376,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008281356346079124,"score_gpt":0.2321370144608133,"score_spread":0.2238556581147342,"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."}}