{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004356614,0.0001861213,0.0001632258,0.0001183004,0.0007899541,0.0002298029,0.0008532119,0.0001032742,0.000001780863],"category_scores_gemma":[0.00001927357,0.0001371744,0.00004466816,0.0006999336,0.0000453448,0.0003587627,0.00004513566,0.0002680257,0.00008408322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001274854,"about_ca_system_score_gemma":0.00003644612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002423625,"about_ca_topic_score_gemma":0.0001307918,"domain_scores_codex":[0.9986585,0.0001090043,0.0002226992,0.0003244026,0.0002181549,0.0004672644],"domain_scores_gemma":[0.9986629,0.0002846834,0.00007953319,0.0007449094,0.00008629166,0.000141669],"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":[0.00006563933,0.0002368081,0.0002667893,0.00003141579,0.0002242088,0.000003641122,0.003245625,0.02231622,0.0009572866,0.0665165,0.003310699,0.9028252],"study_design_scores_gemma":[0.0005487824,0.0006771469,0.004646181,0.0001299085,0.00004808181,0.0002666281,0.002699253,0.1155079,0.002404353,0.001039596,0.8712156,0.0008165844],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006377091,0.000706512,0.9837263,0.005974047,0.0006909951,0.0004805074,0.00000665656,0.0007709655,0.001266927],"genre_scores_gemma":[0.9883291,0.0000248236,0.009431493,0.0003370022,0.0001024096,0.0001511561,4.84395e-7,0.00001582637,0.001607769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.981952,"threshold_uncertainty_score":0.6075768,"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."}}