{"id":"W4413967644","doi":"10.1109/icmlcn64995.2025.11140175","title":"DOPart: Competitive-Ratio Optimal Online Offloading of Sequentially Dependent Tasks","year":2025,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Competitive analysis; Mathematics; Upper and lower bounds","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001108874,0.001633645,0.001582893,0.0005821055,0.0008622585,0.00143021,0.002738986,0.001519568,0.004141796],"category_scores_gemma":[0.005305583,0.0005922492,0.000496924,0.000705544,0.0009401346,0.002385915,0.001713977,0.001658982,0.001098185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001188414,"about_ca_system_score_gemma":0.002740744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005833337,"about_ca_topic_score_gemma":0.006993615,"domain_scores_codex":[0.999027,0.0001785844,0.00005475761,0.0002340541,0.0002480324,0.000257556],"domain_scores_gemma":[0.9980404,0.001055383,0.0001285911,0.0003414783,0.0002168026,0.0002174459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001363151,0.0009107695,0.001401222,0.0002832552,0.00007925273,0.0002708819,0.0001636901,0.6102443,0.01353657,0.01270838,0.01691269,0.3421258],"study_design_scores_gemma":[0.00004133082,0.00006346365,0.00007702983,0.000004633207,0.000005845727,0.00003910381,0.0000165159,0.9935659,0.001804131,0.003706585,0.0006691539,0.000006392416],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1053851,0.001067707,0.8735605,0.0007142896,0.0003634088,0.000334181,0.0002309456,0.006093591,0.01225014],"genre_scores_gemma":[0.7668953,0.0002405424,0.2256162,0.0005228247,0.0001157002,0.0002916988,0.0004799883,0.0005602069,0.005277556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005833337,"threshold_uncertainty_score":0.01385576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496057206798855,"score_gpt":0.2695903972358364,"score_spread":0.2546298251678479,"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."}}