{"id":"W2147590195","doi":"10.1109/waina.2009.183","title":"The Rational for Developing Larger-scale 1000+ Machine Emulation-Based Research Test Beds","year":2009,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Emulation; PlanetLab; Cloud computing; Computer science; Context (archaeology); Scale (ratio); Test (biology); Agency (philosophy); Work (physics); Software engineering; Data science; Engineering; World Wide Web; Operating system; The Internet","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01475176,0.0008871771,0.0006105877,0.0008512192,0.0006157535,0.002296958,0.003040118,0.001059124,0.006788347],"category_scores_gemma":[0.03011545,0.0005861712,0.0007304759,0.0004396541,0.001506524,0.004337797,0.002378961,0.002715192,0.002946286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001763262,"about_ca_system_score_gemma":0.003616556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001302623,"about_ca_topic_score_gemma":0.001447225,"domain_scores_codex":[0.9928604,0.003371603,0.0004320859,0.0005890336,0.002275712,0.000471177],"domain_scores_gemma":[0.9695209,0.01139671,0.002293842,0.008439674,0.006670406,0.001678384],"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":[0.0007956572,0.001789011,0.008257796,0.0009510822,0.0001182888,0.0003533594,0.0006197997,0.1352464,0.08469912,0.2799971,0.02638228,0.4607901],"study_design_scores_gemma":[0.00105194,0.007270936,0.009337483,0.0006895394,0.0001499888,0.00109513,0.001125828,0.2583145,0.1596548,0.1345065,0.4265193,0.000283997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0315704,0.0004010673,0.934109,0.004577808,0.0002887673,0.001419372,0.0002289343,0.005376158,0.02202852],"genre_scores_gemma":[0.1848362,0.0004200454,0.8045799,0.001019343,0.0001307168,0.001433457,0.0005784709,0.0006375651,0.006364343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01475176,"threshold_uncertainty_score":0.07801569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3517412675075569,"score_gpt":0.535028941268187,"score_spread":0.1832876737606301,"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."}}