{"id":"W1491406116","doi":"","title":"New approaches to optimization and utility elicitation in autonomic computing","year":2005,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Regret; Computer science; Heuristics; Provisioning; Autonomic computing; Mathematical optimization; Optimization problem; Resource allocation; Cloud computing; Machine learning; Mathematics; Algorithm","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":[0.006347499,0.001296109,0.001720488,0.0009538106,0.0009097838,0.00270799,0.002555039,0.002028544,0.002962835],"category_scores_gemma":[0.01258324,0.0008417784,0.001276099,0.001314382,0.002525115,0.004167657,0.002580753,0.004381384,0.000385295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002186011,"about_ca_system_score_gemma":0.001722884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001676739,"about_ca_topic_score_gemma":0.001971953,"domain_scores_codex":[0.9948385,0.002873208,0.000245917,0.0006337055,0.001117076,0.0002915288],"domain_scores_gemma":[0.9927322,0.0054309,0.0004966923,0.0006077405,0.0005599436,0.0001724739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001219409,0.0001443101,0.0003887277,0.0001904708,0.0001108115,0.0000589672,0.0002407343,0.6334161,0.001190074,0.2879558,0.001883097,0.07429902],"study_design_scores_gemma":[0.00002358902,0.00003212316,0.0000685113,0.00001501809,0.00001260036,0.00002083221,0.00002264801,0.8904306,0.0003947888,0.1074768,0.001491178,0.00001129609],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002340239,0.0002827078,0.9950266,0.0004001993,0.00003670034,0.00002858127,0.00001144101,0.00008196502,0.001791582],"genre_scores_gemma":[0.252632,0.001006297,0.7416034,0.0004167532,0.0004231374,0.0002949949,0.000067229,0.0001475767,0.003408569],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006347499,"threshold_uncertainty_score":0.03356916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07272507314834387,"score_gpt":0.2459923474784937,"score_spread":0.1732672743301498,"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."}}