{"id":"W1824098691","doi":"","title":"A mobile agent based workflow rescheduling approach for grids","year":2007,"lang":"en","type":"article","venue":"IASTED International Conference on Parallel and Distributed Computing and Systems","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Workflow; Computer science; Workflow management system; Distributed computing; Workflow technology; Schedule; Grid; Workflow engine; Scheduling (production processes); Resource (disambiguation); Grid computing; Database; Operating system; Computer network; Engineering; Operations management","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001302071,0.0003617562,0.0004398232,0.0002065769,0.000375997,0.0008787968,0.000737813,0.0001807199,0.000002149639],"category_scores_gemma":[0.0000837855,0.0003274647,0.0001083238,0.0002857832,0.00007775632,0.0001542911,0.0001878945,0.0002539511,0.000004533311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007579665,"about_ca_system_score_gemma":0.00006927267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004862116,"about_ca_topic_score_gemma":0.000001377372,"domain_scores_codex":[0.997255,0.0001268565,0.0007268658,0.0008361239,0.0004869259,0.0005681718],"domain_scores_gemma":[0.998212,0.0003579427,0.0003315259,0.0003741165,0.0004367995,0.0002876447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004670326,0.0006084832,0.003249012,0.0004314957,0.0003452073,0.00005558344,0.001609229,0.528024,0.0004709079,0.431421,0.002430289,0.03088789],"study_design_scores_gemma":[0.001479464,0.000315157,0.0007190258,0.0002814372,0.00001113377,0.00006015072,0.000550382,0.9924675,0.00001330853,0.0004761347,0.003240763,0.0003855986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01762489,0.0003370976,0.9767317,0.0001384512,0.001135469,0.0006439011,0.0001279591,0.0002755231,0.00298503],"genre_scores_gemma":[0.9651431,0.00001447896,0.0337333,0.0001182583,0.000302556,0.00005188979,0.0004775957,0.00001526569,0.0001435963],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9475182,"threshold_uncertainty_score":0.9999177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04982545931768195,"score_gpt":0.3011942267714632,"score_spread":0.2513687674537812,"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."}}