{"id":"W4323343708","doi":"10.14778/3579075.3579080","title":"Change Propagation Without Joins","year":2023,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Joins; Computer science; Query plan; Latency (audio); Query optimization; Constant (computer programming); Operator (biology); Theoretical computer science; Plan (archaeology); Space (punctuation); Distributed computing; Information retrieval; Sargable; Search engine; Web search query; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0002502095,0.00009145958,0.0001165698,0.00007117084,0.000112154,0.00002886153,0.0004252658,0.00001973708,0.000002149858],"category_scores_gemma":[0.00004625134,0.00005776369,0.00004753809,0.0005407095,0.00003624639,0.0006464584,0.0004839938,0.00005672174,0.00003159224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003190972,"about_ca_system_score_gemma":0.00001398353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003616118,"about_ca_topic_score_gemma":0.000003131138,"domain_scores_codex":[0.999108,0.000003970711,0.000176014,0.0002091359,0.0003133891,0.0001894689],"domain_scores_gemma":[0.9995047,0.000009666958,0.0001714132,0.0001713099,0.0001074813,0.00003535694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009753016,0.00005504728,0.007950511,0.0002864158,0.00002713912,9.324026e-7,0.004131531,0.000009618399,0.08677301,0.8786518,0.004633863,0.0174704],"study_design_scores_gemma":[0.001201713,0.0002907842,0.03763136,0.0007885854,0.00002879671,0.0000460072,0.00114282,0.01646607,0.7530881,0.01348978,0.1751709,0.0006550982],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8375046,0.000576173,0.08935692,0.02790295,0.004789952,0.00772509,0.0000955238,0.002902129,0.02914669],"genre_scores_gemma":[0.9874137,0.00004339343,0.01106973,0.0001492314,0.0001397504,0.0002627166,0.000001975067,0.00001091088,0.0009086131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.865162,"threshold_uncertainty_score":0.2355535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04032232648022806,"score_gpt":0.2605863433371262,"score_spread":0.2202640168568981,"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."}}