{"id":"W1487427737","doi":"10.1109/icppw.2004.82","title":"Trellis driver: distributing a java workflow across a network of workstations","year":2004,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Parallel Processing","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Java; Workflow; Operating system; Server; Trellis (graph); Workload; Executable; Scripting language; Throughput; Real time Java; Distributed computing; Programming language; Database","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":[0.0005059696,0.0002264888,0.0003017896,0.00005091704,0.0003095289,0.0004323148,0.002540889,0.00009237647,0.000006383218],"category_scores_gemma":[0.0001827845,0.0001792015,0.0001602615,0.000721028,0.0001552729,0.0005644347,0.0004813964,0.0002801411,0.000005999199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001214824,"about_ca_system_score_gemma":0.000227096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003748897,"about_ca_topic_score_gemma":0.000005913077,"domain_scores_codex":[0.9977736,0.00001119787,0.0006445562,0.0004241905,0.0007427928,0.0004036234],"domain_scores_gemma":[0.9976007,0.00006118436,0.0009359068,0.0001925636,0.001136615,0.0000730432],"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":[0.000119856,0.0003699482,0.01229021,0.0002276657,0.0001505436,0.000002703387,0.005795979,0.134728,0.003026859,0.8165575,0.0009739304,0.02575687],"study_design_scores_gemma":[0.00449781,0.0004422929,0.02528784,0.01291482,0.00007377971,0.0001202489,0.002235807,0.4906118,0.009565913,0.4498975,0.002795249,0.001556942],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3784402,0.0002273477,0.5868745,0.007409965,0.001139307,0.0005438712,0.00005794679,0.000255855,0.02505101],"genre_scores_gemma":[0.9773843,0.00001374186,0.0221567,0.0001007133,0.0001266645,0.0000169723,0.000007281363,0.00001145637,0.00018213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5989442,"threshold_uncertainty_score":0.7307624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03183861602333515,"score_gpt":0.2860854374893343,"score_spread":0.2542468214659991,"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."}}