{"id":"W3012157188","doi":"10.1109/aiccsa47632.2019.9035283","title":"Quality Model for Evaluating and Choosing a Stream Processing Framework Architecture","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Architecture; Quality (philosophy); Stream processing; Artificial intelligence; Distributed computing; Geography","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":[0.0004454795,0.0001046089,0.0001578334,0.00003078487,0.0001152169,0.00009488584,0.0001415945,0.00004431696,0.000002503417],"category_scores_gemma":[0.0001332246,0.00008047299,0.00002790324,0.00009690967,0.00001832384,0.0005111558,0.0001436098,0.00009937805,0.000001867199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001366823,"about_ca_system_score_gemma":0.00006497004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001368917,"about_ca_topic_score_gemma":0.000009020277,"domain_scores_codex":[0.9990492,0.00002938419,0.0001890481,0.0003636909,0.0001688335,0.0001998016],"domain_scores_gemma":[0.9992747,0.0001722031,0.00009458829,0.0003381235,0.00006952306,0.0000509045],"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":[0.00001748859,0.00001930108,0.000819904,0.0003975749,0.000007848446,2.519584e-7,0.004309533,0.02207593,0.003147902,0.4163954,0.00001681354,0.5527921],"study_design_scores_gemma":[0.0001727899,0.00003564346,0.0001574188,0.0001282244,0.000001637504,0.000003591443,0.0001255135,0.9655514,0.0002560956,0.03312442,0.0003043936,0.0001388359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0632413,0.0001560473,0.935589,0.0001942165,0.0000580805,0.0003157442,0.000007753488,0.0001094176,0.0003285102],"genre_scores_gemma":[0.3656972,7.777199e-7,0.6339088,0.000147698,0.00002244705,0.0000158615,0.000001824709,0.000005110458,0.0002002372],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9434755,"threshold_uncertainty_score":0.3281593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05353672395136307,"score_gpt":0.3744276585657075,"score_spread":0.3208909346143444,"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."}}