{"id":"W2111809960","doi":"10.1109/ipdps.2010.5470430","title":"ADEPT scalability predictor in support of adaptive resource allocation","year":2010,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Speedup; Scalability; Scheduling (production processes); Distributed computing; Adept; Implementation; Machine learning; Parallel computing; Software engineering; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.0008887135,0.0005522167,0.0005273897,0.001091445,0.0002901777,0.000801995,0.001020659,0.000393248,0.002265143],"category_scores_gemma":[0.004292567,0.0002961855,0.0002684293,0.0008816717,0.0002028196,0.0008771598,0.0005681566,0.0005942491,0.0006327348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006175213,"about_ca_system_score_gemma":0.001217744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005782308,"about_ca_topic_score_gemma":0.005319479,"domain_scores_codex":[0.9995862,0.00006044079,0.00003501355,0.00009921032,0.0001762764,0.00004297977],"domain_scores_gemma":[0.9981774,0.0007502575,0.0001817529,0.0001594417,0.0006290399,0.0001022428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001066114,0.0002628163,0.02975263,0.0001623101,0.00009574871,0.0002490331,0.0001187631,0.5672379,0.01226426,0.005369785,0.01781481,0.3656059],"study_design_scores_gemma":[0.00001791316,0.00002187498,0.0007164628,0.00000260465,0.00000494498,0.0000199122,0.000004729042,0.9944589,0.003242732,0.0005559174,0.0009461743,0.000007793571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.225329,0.0003584681,0.7284421,0.0002695932,0.0001481527,0.0001555994,0.001809302,0.03587018,0.007617624],"genre_scores_gemma":[0.7286574,0.0001139534,0.2650422,0.00007556761,0.00005461046,0.0001667469,0.002211059,0.0004708982,0.003207586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005782308,"threshold_uncertainty_score":0.01149732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144779763842629,"score_gpt":0.2312240838838902,"score_spread":0.2197762862454639,"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."}}