{"id":"W11533555","doi":"","title":"Towards cooperative negotiation for decentralized resource allocation in autonomic computing systems","year":2003,"lang":"en","type":"article","venue":"International Joint Conference on Artificial Intelligence","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Autonomic computing; Negotiation; Computer science; Resource allocation; Distributed computing; Resource management (computing); Resource (disambiguation); Computer network; Cloud computing; Operating system","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":[0.001050503,0.0002156556,0.0002605699,0.0002807023,0.0000912162,0.0003105976,0.000668915,0.00009296207,0.00001654085],"category_scores_gemma":[0.00271563,0.0002241653,0.00006670748,0.0002811621,0.00005972145,0.0003969006,0.00007301471,0.0002070533,0.00003922152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004295153,"about_ca_system_score_gemma":0.0001978059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004123968,"about_ca_topic_score_gemma":0.00001963581,"domain_scores_codex":[0.9978895,0.0002555943,0.000683644,0.0005486586,0.0002961899,0.0003264096],"domain_scores_gemma":[0.9983412,0.0006579849,0.0002236114,0.0003055664,0.0004032156,0.0000684133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001658224,0.00003825071,0.00001112282,0.000004538639,0.000008844029,0.000001836704,0.0004836013,0.3738867,0.001564683,0.59539,0.00001295851,0.02858095],"study_design_scores_gemma":[0.00011048,0.0001070171,0.0002134223,0.0001330479,0.000002667818,0.000007872239,0.0004226717,0.857897,0.05363101,0.08617955,0.0009978438,0.0002974472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004775814,0.00003471478,0.9904801,0.001225729,0.001756012,0.0005173098,0.000006408807,0.0002145951,0.0009892768],"genre_scores_gemma":[0.8236631,0.00002117652,0.1759988,0.0001247676,0.0000537862,0.00006630037,0.0000130441,0.00001256606,0.00004643037],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8188873,"threshold_uncertainty_score":0.9141196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.157422937616512,"score_gpt":0.3588051013070076,"score_spread":0.2013821636904956,"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."}}