{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001048759,0.0007186448,0.0005377139,0.001015401,0.0005093963,0.003123956,0.0007792183,0.001286204,0.0116598],"category_scores_gemma":[0.003045471,0.0004309503,0.0005422315,0.001784153,0.001077252,0.002891824,0.001270665,0.001906997,0.002929562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006939321,"about_ca_system_score_gemma":0.0006641735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001218783,"about_ca_topic_score_gemma":0.0009713998,"domain_scores_codex":[0.9989833,0.0001955153,0.00008427088,0.0001797921,0.0004973084,0.00005973848],"domain_scores_gemma":[0.9984804,0.0009738313,0.00006621742,0.0001356914,0.0002855456,0.00005843511],"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":[0.00009918646,0.0001169411,0.0009543135,0.001309507,0.00006360992,0.0006023836,0.0009393386,0.019424,0.005073534,0.4837883,0.1047016,0.3829272],"study_design_scores_gemma":[0.0000155709,0.00006614892,0.0007926664,0.000521192,0.00002592297,0.0007494958,0.0003190297,0.05265611,0.003805624,0.2697467,0.671253,0.00004851869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005918753,0.06191199,0.7978733,0.008224227,0.003880647,0.000413091,0.001252302,0.001886945,0.1186388],"genre_scores_gemma":[0.1537698,0.1439305,0.5534043,0.004663999,0.009884986,0.0007765988,0.004025072,0.00136359,0.1281812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0116598,"threshold_uncertainty_score":0.03900594,"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."}}