{"id":"W2170760354","doi":"10.1007/978-3-7643-8448-7_4","title":"Employing Intelligent Agents to Automate SLA Creation","year":2007,"lang":"en","type":"book-chapter","venue":"Birkhäuser Basel eBooks","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Negotiation; Service-level agreement; Process management; Service level; Service provider; Computer science; Process (computing); Order (exchange); Service (business); Mediation; Software; Software agent; Business; Quality of service; Marketing; Computer network; Finance","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":[0.001282677,0.0006566441,0.0004056323,0.000719231,0.0007657132,0.00215783,0.001020159,0.000877447,0.002713579],"category_scores_gemma":[0.002833133,0.0004746391,0.0004625555,0.0006045895,0.0006204403,0.001415934,0.001429469,0.00112973,0.001967957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000477664,"about_ca_system_score_gemma":0.001363663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00199645,"about_ca_topic_score_gemma":0.00298275,"domain_scores_codex":[0.998933,0.0003276053,0.00009369958,0.000174658,0.0003557458,0.000115351],"domain_scores_gemma":[0.9988793,0.0004567847,0.0001143575,0.0002840157,0.0002098133,0.00005585576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00030936,0.0004976932,0.002399259,0.0004052403,0.0000923999,0.0005696262,0.001429529,0.1157007,0.06224237,0.120735,0.01465914,0.6809596],"study_design_scores_gemma":[0.00009026075,0.0001049947,0.0007017367,0.00009410927,0.00007135767,0.0001901377,0.0002553446,0.811734,0.03625903,0.04530096,0.1051379,0.00006036414],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01905469,0.0002602051,0.955511,0.0002555468,0.000136903,0.0002333191,0.0000577329,0.003635192,0.02085543],"genre_scores_gemma":[0.1631127,0.00032851,0.824469,0.0001103796,0.00004048717,0.0001941667,0.0002561439,0.0002758094,0.01121288],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.002713579,"threshold_uncertainty_score":0.009077847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06175481792858559,"score_gpt":0.2927715294204586,"score_spread":0.2310167114918731,"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."}}