{"id":"W2153621832","doi":"10.5555/1898699.1898888","title":"IMAGE: an approach to building standards-based enterprise grids","year":2006,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Distributed computing; Grid; Scheduling (production processes); Queue; Grid computing; Computer network","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":[0.0006423345,0.0001681296,0.0001797893,0.000114978,0.0001401934,0.0006078832,0.001055583,0.0000458227,0.00000853726],"category_scores_gemma":[0.00001701186,0.0001466697,0.00006936807,0.0004614779,0.00001921851,0.0003306952,0.0001486257,0.00008706134,0.00003095675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000891261,"about_ca_system_score_gemma":0.0001202668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002670978,"about_ca_topic_score_gemma":0.000005176537,"domain_scores_codex":[0.9982473,0.00009141156,0.0002665588,0.0005136602,0.0004987876,0.0003823068],"domain_scores_gemma":[0.9989116,0.00003346003,0.00005484447,0.00066007,0.0001748478,0.0001652333],"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":[0.00008592819,0.002307509,0.006666611,0.0002390795,0.00005069904,0.00009804916,0.0009996847,0.2247862,0.01240836,0.4838077,0.2443255,0.02422474],"study_design_scores_gemma":[0.0006237957,0.0001499961,0.00184911,0.00003485403,0.000004227205,0.00001797463,0.00002153371,0.9453843,0.001374834,0.0009483676,0.04913327,0.0004577484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01738157,0.00001890839,0.9421206,0.0001991376,0.0002928554,0.0001760122,0.00002120661,0.0005469131,0.03924282],"genre_scores_gemma":[0.6715888,5.113714e-8,0.3278301,0.000213869,0.0001414461,0.0000088749,0.00001498203,0.000007589533,0.0001942374],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7205981,"threshold_uncertainty_score":0.5981016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00976424523040528,"score_gpt":0.2611847268127342,"score_spread":0.2514204815823289,"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."}}