{"id":"W2097811902","doi":"10.1109/scc.2007.98","title":"Service Commitment Strategies in Allocating Services to Applications","year":2007,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Markov decision process; Markov process; Process (computing); Service (business); Business process; Sample (material); Operations research; Services computing; Web service; Business; Work in process; Marketing","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":[0.003590382,0.0008718789,0.0009291836,0.0007108509,0.0008465996,0.00152234,0.001925735,0.001069387,0.002633602],"category_scores_gemma":[0.01009579,0.0006601058,0.0004412954,0.0008869802,0.001261324,0.002300655,0.001576282,0.001379464,0.000414311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001754783,"about_ca_system_score_gemma":0.002133489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003707763,"about_ca_topic_score_gemma":0.002894574,"domain_scores_codex":[0.9969695,0.001424907,0.0001410187,0.0003863565,0.0005915337,0.0004866158],"domain_scores_gemma":[0.9955623,0.00267475,0.000435774,0.0004164824,0.0004871778,0.0004235311],"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":[0.000656058,0.0002741322,0.001672849,0.000199078,0.0000872978,0.0002689351,0.0004361033,0.8149353,0.01164583,0.07549282,0.00191863,0.09241305],"study_design_scores_gemma":[0.00003201486,0.00008431294,0.0002151141,0.00001410428,0.00001448137,0.00005789628,0.00009667384,0.9752895,0.002406936,0.02047433,0.001297751,0.00001688941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1787144,0.0007747188,0.8118733,0.001030013,0.0001014386,0.0002141781,0.00005328294,0.0005204294,0.006718319],"genre_scores_gemma":[0.9301166,0.0002213076,0.06643784,0.0001301531,0.00003283733,0.0001388624,0.00004942157,0.00007576808,0.002797215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003707763,"threshold_uncertainty_score":0.01898795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088082784262747,"score_gpt":0.278293541224483,"score_spread":0.2674127133818556,"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."}}