{"id":"W4206769521","doi":"10.1109/ideas.2007.4318107","title":"Stream Processing in a Relational Database: a Case Study","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Database; Stream processing; Relational database; Relational database management system; Point (geometry); Distributed computing","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":[0.0006138685,0.00007739873,0.00008584972,0.0001166556,0.00009168726,0.0000259325,0.0001141796,0.00001618392,0.0000105752],"category_scores_gemma":[0.00003263739,0.00006388842,0.00001039638,0.0004269102,0.00001525692,0.001233552,0.0001642362,0.00008606982,0.00001002251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000312239,"about_ca_system_score_gemma":0.00005843401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007731471,"about_ca_topic_score_gemma":0.005210149,"domain_scores_codex":[0.9990917,0.0000236745,0.0002400397,0.0002753749,0.0001864668,0.0001826823],"domain_scores_gemma":[0.9994785,0.00005195774,0.00004881872,0.0003277364,0.00004022113,0.00005280932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003246665,0.001550781,0.1441003,0.00007767454,0.00001310724,0.05236964,0.0124085,0.0003375314,0.0004421996,0.5129545,0.000389783,0.2753234],"study_design_scores_gemma":[0.0170615,0.002078447,0.2193812,0.001030827,0.00004730489,0.0642193,0.2021135,0.3484124,0.002698537,0.003017565,0.1347447,0.005194671],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2148255,0.00005814766,0.78342,0.00002712463,0.00004766932,0.0001664766,0.000003587825,0.00007221138,0.001379322],"genre_scores_gemma":[0.7874941,3.215124e-7,0.2122421,0.00003580909,0.00002692135,0.000007670799,0.000004363136,0.000003180781,0.0001854965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5726686,"threshold_uncertainty_score":0.2907385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0365202686735736,"score_gpt":0.3175671496795327,"score_spread":0.2810468810059591,"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."}}