{"id":"W4402293731","doi":"10.1002/9781119912965.ch8","title":"Streaming Data and Complex Event Processing","year":2024,"lang":"en","type":"other","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Event (particle physics); Computer science; Event data; Complex event processing; Data science; Programming language; Process (computing); Physics","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":[0.00007719933,0.000148292,0.0001673984,0.00008455226,0.00002823463,0.0001176856,0.0004848486,0.00004794788,0.0001113521],"category_scores_gemma":[0.000006212942,0.0001108758,0.00001010154,0.00009717113,0.0000325832,0.0002618821,0.001506135,0.00007756457,0.00007660664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007358616,"about_ca_system_score_gemma":0.00003641406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001548131,"about_ca_topic_score_gemma":0.0001871292,"domain_scores_codex":[0.9990477,0.00001070759,0.0001058145,0.0005720537,0.0001328148,0.0001309362],"domain_scores_gemma":[0.9989219,0.000007643369,0.00006713878,0.0009515416,0.000007408974,0.00004442484],"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":[1.438939e-7,0.000006145909,0.000002363938,0.000460277,0.00001344184,0.00002099953,0.00005233658,2.267981e-7,0.000005969261,0.04289741,0.8048316,0.1517091],"study_design_scores_gemma":[0.00002999375,0.000004493806,0.000002927005,0.000506108,0.000005106044,0.00001990794,0.00003920922,0.02376078,0.000001386527,0.00009968731,0.9753839,0.0001465016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[1.17789e-7,0.003971646,0.7153293,0.00008999792,0.0002013839,0.00008282272,0.0001188005,0.0003418481,0.2798641],"genre_scores_gemma":[0.00006459786,0.00006908824,0.3284656,0.00004990132,0.0001763993,0.000004078503,0.0001187661,0.0001076637,0.6709439],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3910798,"threshold_uncertainty_score":0.4521383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05310762498746117,"score_gpt":0.3256240673361346,"score_spread":0.2725164423486734,"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."}}