{"id":"W2256317631","doi":"","title":"Chorus: an interactive approach to incremental modeling and validation in clouds","year":2014,"lang":"en","type":"article","venue":"Computer Science and Software Engineering","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada); University of Toronto","funders":"","keywords":"Chorus; Computer science; Reuse; Workload; Adaptation (eye); Latency (audio); Distributed computing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008923188,0.001842373,0.001325713,0.001519807,0.001564084,0.004109611,0.006053421,0.001935659,0.004298115],"category_scores_gemma":[0.02570467,0.002327451,0.003326441,0.0008747356,0.002904171,0.005159697,0.007483477,0.003915236,0.0008324482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002083974,"about_ca_system_score_gemma":0.004390502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0187956,"about_ca_topic_score_gemma":0.02443873,"domain_scores_codex":[0.9938385,0.002579304,0.0003603821,0.0008594111,0.001937147,0.0004251838],"domain_scores_gemma":[0.9865349,0.007206184,0.0006951596,0.003811184,0.001285171,0.0004674145],"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":[0.000283849,0.0001593919,0.003763465,0.0002439392,0.0002053453,0.0003947079,0.001683352,0.848403,0.006615146,0.07272845,0.003860307,0.06165895],"study_design_scores_gemma":[0.00001600913,0.00003008129,0.0001304056,0.00002896818,0.00001912293,0.00004147103,0.00006144055,0.9665487,0.002705332,0.02524123,0.005149108,0.00002808065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004633882,0.00004803472,0.9887842,0.0001665382,0.00001771379,0.00008840044,0.0001277048,0.0051605,0.0009730547],"genre_scores_gemma":[0.1527792,0.0001289316,0.8426576,0.000142912,0.00003120599,0.0003540173,0.0006538176,0.001850893,0.001401339],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0187956,"threshold_uncertainty_score":0.0471909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176378729865309,"score_gpt":0.2183714554991911,"score_spread":0.206607668200538,"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."}}