{"id":"W2071860408","doi":"10.1007/s007990100045","title":"Performance stress vectors and capacity planning for e-commerce applications","year":2002,"lang":"en","type":"article","venue":"International Journal on Digital Libraries","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; IBM (Canada)","funders":"","keywords":"Computer science; Software deployment; Revenue; Capacity planning; Reliability (semiconductor); E-commerce; World Wide Web; Business; Software engineering; Finance; Operating system","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0000790636,0.0001095414,0.0001059129,0.0001121717,0.0002149576,0.001328466,0.000656708,0.00004228295,0.000009798368],"category_scores_gemma":[0.00005264962,0.00008680661,0.00005800988,0.00008538726,0.0000771882,0.003200925,0.0001074331,0.0001478107,0.00002032455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003500345,"about_ca_system_score_gemma":0.00001823175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.190751e-7,"about_ca_topic_score_gemma":6.999328e-8,"domain_scores_codex":[0.999132,0.000009601575,0.0002362479,0.0001810093,0.0002888232,0.0001522621],"domain_scores_gemma":[0.9993067,0.000205319,0.0001211003,0.000151902,0.0001243338,0.00009065854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009212632,0.0004395992,0.4927911,0.0001018047,0.0002302706,0.00001505464,0.003035298,0.001503519,0.00002248522,0.06763105,0.006079039,0.4280587],"study_design_scores_gemma":[0.003228283,0.001331209,0.2247247,0.0009354751,0.00002281501,0.001297632,0.0003903926,0.1699737,0.003567835,0.02704986,0.5660163,0.001461798],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8494243,0.0003561293,0.1360013,0.003067362,0.00143332,0.0003147778,0.000101897,0.0002104969,0.00909045],"genre_scores_gemma":[0.9964846,0.00003708857,0.002569854,0.0002563079,0.0003373127,0.00002800881,0.00000578656,0.000007040498,0.0002740485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5599373,"threshold_uncertainty_score":0.9997082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02998629412239586,"score_gpt":0.2410800638063831,"score_spread":0.2110937696839872,"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."}}