{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001239998,0.0001335686,0.0001322201,0.0003351864,0.0001521007,0.0004423879,0.0005699434,0.00002514849,9.828724e-8],"category_scores_gemma":[0.00009060424,0.0001291955,0.00001225235,0.0006015602,0.00003228939,0.0002745376,0.0008902118,0.0001170494,0.000001127331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006743239,"about_ca_system_score_gemma":0.00001721287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003155153,"about_ca_topic_score_gemma":7.060681e-7,"domain_scores_codex":[0.9986502,0.00003044396,0.0001616891,0.0005741942,0.000291498,0.0002920064],"domain_scores_gemma":[0.9994068,0.00005798872,0.00002334111,0.0002879777,0.00005645991,0.0001674527],"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":[0.000001260612,0.00003000407,0.0006989157,0.00001754291,0.000002464685,0.000001015364,0.002813054,0.8659655,0.0001311281,0.002095669,0.000004436406,0.128239],"study_design_scores_gemma":[0.0001458296,0.00007116126,0.003104062,0.0000468242,0.000001176861,0.00001004898,0.00003214278,0.9961494,0.0001225195,0.00008153446,0.00006525105,0.0001700122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4547862,0.0000108716,0.5448546,0.00002955361,0.0001294551,0.00007056016,6.695587e-8,0.00009703942,0.00002166433],"genre_scores_gemma":[0.7254556,8.123627e-7,0.2743461,0.000115691,0.00006951512,0.000005466162,3.793188e-7,0.000004768865,0.000001665681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2706694,"threshold_uncertainty_score":0.5268438,"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."}}