{"id":"W1567216278","doi":"","title":"Matchmaking with limited knowledge of resources on clouds and grids","year":2010,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Reservation; Computer science; Distributed computing; Cloud computing; Scheduling (production processes); Grid; Grid computing; Processor scheduling; A priori and a posteriori; Resource (disambiguation); Middleware (distributed applications); Computer network; Operating system; Engineering","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":[0.00157535,0.0001452494,0.000197954,0.0002244858,0.0001304548,0.0001127112,0.0007522256,0.00005743817,0.00000293443],"category_scores_gemma":[0.00001311353,0.0001165936,0.00002983736,0.0002008818,0.00009399931,0.00006055319,0.0002938079,0.0001924845,0.000003380525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003226487,"about_ca_system_score_gemma":0.00002845305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002525117,"about_ca_topic_score_gemma":0.000005029286,"domain_scores_codex":[0.9983853,0.0001884453,0.0004365428,0.0002695877,0.0006093258,0.0001108188],"domain_scores_gemma":[0.9980945,0.0002479271,0.0003921571,0.0006301145,0.0005898876,0.00004541962],"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":[0.0002772493,0.001005353,0.02361511,0.0003166071,0.0004353325,6.649706e-7,0.01203095,0.302558,0.003565733,0.08568127,0.0002558944,0.5702578],"study_design_scores_gemma":[0.0008236963,0.0004274309,0.05459827,0.0003098095,0.0000163502,0.00001892505,0.00004467862,0.9396182,0.0009299415,0.00003227067,0.003050608,0.0001298293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876499,0.00009500059,0.003192932,0.0006281274,0.0005692503,0.0002870978,0.000001600464,0.00004800524,0.007528069],"genre_scores_gemma":[0.9974328,0.00003315386,0.00225933,0.00004748222,0.00013427,0.00002557766,0.0000049758,0.000008677194,0.00005370931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6370602,"threshold_uncertainty_score":0.4754547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02073361499590888,"score_gpt":0.2764338830664907,"score_spread":0.2557002680705818,"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."}}