{"id":"W4291713239","doi":"10.1145/3183713.3190662","title":"Apache Calcite","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université TÉLUQ; University of Waterloo","funders":"UT-Battelle; Battelle; U.S. Department of Energy","keywords":"Computer science; Query optimization; Query language; Extensibility; Architecture; Relational database; Sargable; View; Calcite; Database; Programming language; Web search query; Information retrieval; Database design","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":[0.003330744,0.002442819,0.001885427,0.004014196,0.001398842,0.005984308,0.005623912,0.001282232,0.04494398],"category_scores_gemma":[0.01074583,0.001430686,0.001942357,0.004344355,0.001530803,0.006024541,0.00506385,0.003865287,0.05041519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002067574,"about_ca_system_score_gemma":0.005430102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01045364,"about_ca_topic_score_gemma":0.006956914,"domain_scores_codex":[0.9964597,0.000464086,0.0002441616,0.0005131116,0.001795153,0.0005239003],"domain_scores_gemma":[0.995774,0.0009949987,0.0002234314,0.001066219,0.001460265,0.0004811307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007833142,0.0002099135,0.002390431,0.001712695,0.0002079949,0.0004101129,0.0003556904,0.005730838,0.004775876,0.06391917,0.8064798,0.1130242],"study_design_scores_gemma":[0.0004666858,0.00007643827,0.001710452,0.0002380497,0.00007901149,0.0003773887,0.0001255422,0.04301798,0.006709904,0.05693127,0.8900886,0.0001787329],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.00511241,0.002491345,0.1945428,0.00145797,0.0007778292,0.00112104,0.04331299,0.6511058,0.1000777],"genre_scores_gemma":[0.1056289,0.005317122,0.3289545,0.002687867,0.0007640622,0.003384237,0.2645836,0.195508,0.09317175],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.04494398,"threshold_uncertainty_score":0.1503526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02522563115720203,"score_gpt":0.258807168560342,"score_spread":0.2335815374031399,"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."}}