{"id":"W2609242356","doi":"","title":"Future trends in distributed infrastructures - The Nordic Tier-1 example","year":2016,"lang":"en","type":"article","venue":"Lund University Publications (Lund University)","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Computer science; Variety (cybernetics); Distributed data store; Data science; Distributed computing","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":[0.002735243,0.0002894513,0.0002588303,0.0008886161,0.001321363,0.007202781,0.0007217602,0.002022236,0.002812707],"category_scores_gemma":[0.001680556,0.0002216105,0.0003316676,0.002001274,0.00124251,0.005683972,0.001708252,0.002085759,0.001254415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006058633,"about_ca_system_score_gemma":0.003987081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01227829,"about_ca_topic_score_gemma":0.01082228,"domain_scores_codex":[0.9985365,0.0002719947,0.00008459287,0.0001865123,0.0006172666,0.0003030936],"domain_scores_gemma":[0.9985822,0.0003399687,0.00007680045,0.0001348341,0.0006020954,0.0002640339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006913751,0.00006890128,0.001401957,0.0003797609,0.000008822222,0.0003135518,0.0009860678,0.003725333,0.001477948,0.8744071,0.03170462,0.08545675],"study_design_scores_gemma":[0.00001053005,0.00003545444,0.0009954976,0.000387119,0.00000806796,0.0003470212,0.001410382,0.001955083,0.0006290227,0.08160702,0.9125915,0.00002341396],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06763922,0.1909334,0.0594407,0.09051778,0.004984024,0.0001376985,0.0008498571,0.0007150695,0.5847822],"genre_scores_gemma":[0.5206771,0.2389134,0.1010623,0.01050627,0.001326845,0.0001695765,0.001618451,0.0003885355,0.1253374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01227829,"threshold_uncertainty_score":0.04395866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01257103691016413,"score_gpt":0.1931897663544634,"score_spread":0.1806187294442992,"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."}}