{"id":"W4230504145","doi":"10.1145/2488222","title":"Proceedings of the 7th ACM international conference on Distributed event-based systems","year":2013,"lang":"en","type":"paratext","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Complex event processing; Event (particle physics); World Wide Web; Publication; Middleware (distributed applications); Cloud computing; The Internet; Variety (cybernetics); Data science; Stream processing; Process (computing); Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000143673,0.0002914474,0.0003815356,0.00008769331,0.00008901359,0.0001880193,0.00262984,0.0001545428,0.0004025748],"category_scores_gemma":[0.00009694597,0.0001732311,0.0001171033,0.0002443014,0.00009486048,0.0004066028,0.0007429943,0.0002693247,0.0007027892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001093283,"about_ca_system_score_gemma":0.0002435246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002304681,"about_ca_topic_score_gemma":0.000005128776,"domain_scores_codex":[0.9981114,0.00002685225,0.0004908925,0.000497963,0.0006402679,0.0002326082],"domain_scores_gemma":[0.9976706,0.00006592078,0.000649544,0.0008360228,0.000709786,0.00006810578],"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":[0.000007423241,0.00005558181,0.00002272925,0.0002321015,0.00004581819,5.207762e-7,0.00003891059,0.0005707666,0.0007147377,0.4669312,0.5311623,0.0002178948],"study_design_scores_gemma":[0.0005395365,0.0001423048,0.0001253517,0.002232713,0.00001215855,0.00001171567,0.0002376889,0.06916557,0.007323206,0.0002202786,0.9193844,0.000605097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0003004607,0.0001235704,0.8972822,0.001655807,0.008539435,0.001063854,0.001942679,0.00009174476,0.08900024],"genre_scores_gemma":[0.4248984,0.0001551911,0.02391792,0.0007152738,0.00130764,0.0009187252,0.001793607,0.00009652911,0.5461967],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8733643,"threshold_uncertainty_score":0.9033167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03047789272415471,"score_gpt":0.2782993555343781,"score_spread":0.2478214628102234,"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."}}