{"id":"W2146891860","doi":"10.1145/2382570.2382573","title":"The XtreemOS Resource Selection Service","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"Sixth Framework Programme","keywords":"Computer science; Scalability; RSS; Node (physics); Resource (disambiguation); Service (business); Distributed computing; Database; Set (abstract data type); Selection (genetic algorithm); Routing (electronic design automation); Data mining; Computer network; World Wide Web; Machine learning","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":[0.0008045136,0.0006662384,0.0005666069,0.001066719,0.0006049463,0.0018747,0.001928909,0.0007561676,0.01493055],"category_scores_gemma":[0.002153501,0.0003803406,0.0004584189,0.001076489,0.000426643,0.001853693,0.002103227,0.0007597784,0.007987824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008341066,"about_ca_system_score_gemma":0.001073728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006679904,"about_ca_topic_score_gemma":0.006906873,"domain_scores_codex":[0.999168,0.00009451454,0.00005362798,0.0001554155,0.0003945406,0.0001340124],"domain_scores_gemma":[0.9990641,0.0001365738,0.0001032428,0.0003700434,0.0001803235,0.0001456227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001611351,0.0003879669,0.006197971,0.0004042008,0.0001384833,0.0007671323,0.0005760287,0.02198227,0.05324224,0.05196013,0.3493706,0.5133616],"study_design_scores_gemma":[0.000400923,0.0003928495,0.004569167,0.0000813586,0.00006721414,0.001369431,0.0002858562,0.4361958,0.0371614,0.02100844,0.4982757,0.0001919246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06723479,0.001937937,0.5450599,0.001731735,0.000573648,0.0008352448,0.005966915,0.2774111,0.09924881],"genre_scores_gemma":[0.5885287,0.001793504,0.2695533,0.001678301,0.0004575776,0.0005894709,0.01651386,0.009769484,0.1111158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01493055,"threshold_uncertainty_score":0.04994768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02526946131923585,"score_gpt":0.2352867514960244,"score_spread":0.2100172901767886,"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."}}