{"id":"W4320063655","doi":"10.1145/3559009.3569650","title":"GPUPool","year":2022,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Cloud computing; Virtualization; Quality of service; Workload; Graphics; Distributed computing; Operating system; Computer network","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":[0.0001274399,0.00002638249,0.00002905605,0.00004159386,0.0001745871,0.00003120608,0.0005090154,0.00000424094,0.0001648312],"category_scores_gemma":[0.000003984136,0.00002581186,0.00001612504,0.000202441,0.000003565031,0.00006519578,0.0004410766,0.00005018069,0.00001702694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000149163,"about_ca_system_score_gemma":0.000016304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005700053,"about_ca_topic_score_gemma":9.101954e-8,"domain_scores_codex":[0.9996258,0.0000325851,0.00005229053,0.0001069884,0.0001100529,0.00007227215],"domain_scores_gemma":[0.9997438,0.00001316391,0.00001550511,0.0001989457,0.00001066399,0.00001797967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[9.520032e-7,0.000053128,0.0002008685,9.324988e-7,0.000003686907,0.000007915875,0.0002455607,0.0372881,0.00007640551,0.80539,0.1237961,0.03293636],"study_design_scores_gemma":[0.00007710848,0.00005732001,0.0001266247,3.244828e-7,3.450141e-7,0.0000204455,0.00001053846,0.8470267,0.0008251645,0.01031192,0.1414455,0.00009804846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002055956,0.00001702914,0.9388612,0.0007638199,0.00008851009,0.0000279356,1.272092e-7,0.0007854055,0.05925039],"genre_scores_gemma":[0.5630519,0.000001301313,0.4311012,0.001452935,0.00001002479,0.00001676658,6.812521e-7,0.00000216512,0.004362917],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8097386,"threshold_uncertainty_score":0.1804786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302877920369369,"score_gpt":0.2391312375206537,"score_spread":0.22610245831696,"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."}}