{"id":"W2786975453","doi":"10.29007/4cth","title":"Event Stream Processing with BeepBeep 3","year":2018,"lang":"en","type":"article","venue":"Kalpa publications in computing","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Event (particle physics); Stream processing; Complex event processing; Real-time computing; Programming language; Parallel computing; Process (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007200879,0.0007207395,0.0004454721,0.000617,0.000390227,0.001380184,0.001081965,0.0005905398,0.01365934],"category_scores_gemma":[0.003234768,0.0004127593,0.0005144827,0.0004868386,0.0004434442,0.001207519,0.0009050015,0.001160606,0.002495739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004832128,"about_ca_system_score_gemma":0.0007588483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002327159,"about_ca_topic_score_gemma":0.002369162,"domain_scores_codex":[0.9992091,0.0001012355,0.00006030723,0.0001140994,0.0004418102,0.00007352263],"domain_scores_gemma":[0.9990578,0.000439717,0.00006147765,0.0001689716,0.0002336525,0.00003840714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002969553,0.0002124602,0.002402997,0.0007495469,0.0001975985,0.001401492,0.000637009,0.07619474,0.1141465,0.0952844,0.05481582,0.6509879],"study_design_scores_gemma":[0.0002135572,0.0003442201,0.001083951,0.0002130438,0.00007370156,0.0008183027,0.00008680356,0.5584858,0.1965566,0.05208393,0.1899055,0.0001346181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008257664,0.0003353918,0.9627451,0.0001805615,0.0001558165,0.0001716108,0.000308517,0.02013391,0.007711433],"genre_scores_gemma":[0.3173421,0.0008592832,0.6575339,0.0007176609,0.0001436613,0.0004281626,0.001279372,0.003579434,0.01811626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01365934,"threshold_uncertainty_score":0.04569501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334266354488536,"score_gpt":0.2795878556468433,"score_spread":0.266245192101958,"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."}}