{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006398378,0.00008134429,0.00009257958,0.00008676232,0.00007592487,0.0001017755,0.0006533451,0.00003831727,0.000005975686],"category_scores_gemma":[0.000001671219,0.00006578839,0.00001574651,0.0008043785,0.000006067615,0.0004010793,0.0001791521,0.00006174178,0.0001877352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005508438,"about_ca_system_score_gemma":0.00004308599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009676866,"about_ca_topic_score_gemma":0.006307257,"domain_scores_codex":[0.9990988,0.00001451546,0.0002538306,0.0002465995,0.0001567609,0.0002294847],"domain_scores_gemma":[0.999234,0.00007117358,0.00003516286,0.0004962755,0.00008785007,0.00007559168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003568963,0.0008017113,0.2399423,0.001483,0.0000401489,0.00001346575,0.03316443,0.01322007,0.002886227,0.3514578,0.00035246,0.3566026],"study_design_scores_gemma":[0.001053499,0.0002118404,0.8411919,0.0002869808,0.000007197538,0.00002506832,0.02459516,0.05417361,0.005935472,0.01026235,0.06113865,0.001118205],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2340734,0.00005299223,0.7568578,0.001418957,0.00009118408,0.0004965618,3.163512e-7,0.0002403003,0.006768503],"genre_scores_gemma":[0.9447181,0.00000155543,0.0538134,0.001312378,0.00003452262,0.0000788942,0.000001241238,0.000003096955,0.00003679476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7106448,"threshold_uncertainty_score":0.3519597,"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."}}