{"id":"W4244068867","doi":"10.1145/2020976.1958774","title":"Abstract only","year":2011,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada); University of Waterloo; Carleton University; York University","funders":"","keywords":"Computer science; Cluster analysis; Estimator; Software; Filter (signal processing); Class (philosophy); Queueing theory; Data mining; Web service; Tracking (education); Service (business); Real-time computing; Artificial intelligence; Computer network; Operating system; Computer vision; Statistics; Mathematics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00134736,0.001037527,0.001009779,0.001397485,0.001095934,0.004345106,0.001952159,0.002255333,0.5693191],"category_scores_gemma":[0.008172821,0.0003699778,0.0007707896,0.001720068,0.0006858687,0.003000033,0.002755466,0.001593339,0.5674201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000844339,"about_ca_system_score_gemma":0.001183838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002025548,"about_ca_topic_score_gemma":0.001903725,"domain_scores_codex":[0.998384,0.0003002818,0.0001021022,0.0005173408,0.0005620273,0.0001342528],"domain_scores_gemma":[0.9958677,0.0007113864,0.0002511457,0.001453142,0.001381665,0.0003349214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002690004,0.0001179116,0.001452343,0.0004256045,0.00004367323,0.0003167286,0.0001543659,0.001129816,0.0031385,0.02506008,0.4814219,0.4864701],"study_design_scores_gemma":[0.0000413436,0.0001018841,0.001502605,0.0002156533,0.00002296729,0.0004130023,0.00008717454,0.002910681,0.002637103,0.01173274,0.9802999,0.00003495293],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006708707,0.00445472,0.1454581,0.01681528,0.01509352,0.0007767795,0.01523018,0.01693621,0.7785265],"genre_scores_gemma":[0.05623108,0.002720757,0.01882824,0.003375352,0.002694334,0.0002944757,0.01231735,0.002438653,0.9010997],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4306809,"threshold_uncertainty_score":0.614314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02516248366012888,"score_gpt":0.2198654068305163,"score_spread":0.1947029231703875,"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."}}