{"id":"W2036224420","doi":"10.1145/1321211.1321231","title":"Window query processing for joining data streams with relations","year":2007,"lang":"en","type":"article","venue":"Proceedings of CASCON","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Joins; Computer science; Data stream mining; Query optimization; Semantics (computer science); Focus (optics); Data stream; Process (computing); Sliding window protocol; Database; Window (computing); Distributed computing; Theoretical computer science; Data mining; World Wide Web; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006086662,0.0001153487,0.0001755798,0.00009948127,0.0001539813,0.00006328974,0.0004342169,0.00004007605,0.000001006143],"category_scores_gemma":[0.0001285643,0.00009434446,0.00001923325,0.0002982849,0.0000555056,0.003018562,0.0002026455,0.00008124375,0.000001098732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002126046,"about_ca_system_score_gemma":0.00007891527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002111073,"about_ca_topic_score_gemma":0.00002473107,"domain_scores_codex":[0.9988727,0.000001159475,0.0002851665,0.0003786467,0.0002119863,0.0002503423],"domain_scores_gemma":[0.9989928,0.00006819935,0.0002927534,0.0002354932,0.0003469666,0.00006377829],"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":[0.000206913,0.0001369619,0.02213607,0.001191759,0.00007446836,0.000008940193,0.004516629,0.00004696089,0.03325752,0.6147866,0.002398363,0.3212388],"study_design_scores_gemma":[0.008927876,0.00299851,0.02045891,0.007717958,0.0003057662,0.0009602059,0.01866494,0.129595,0.3959813,0.01191557,0.3985578,0.003916154],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04929421,0.0002410684,0.9459566,0.0001603477,0.00005961701,0.0003084395,0.00002798981,0.0001163665,0.003835309],"genre_scores_gemma":[0.5386209,0.000002802082,0.4610676,0.00003283665,0.0000883307,0.00001187069,0.00001889279,0.0000123037,0.0001444243],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.602871,"threshold_uncertainty_score":0.3847255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03335641550602229,"score_gpt":0.2861722652909604,"score_spread":0.2528158497849381,"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."}}