{"id":"W4408285114","doi":"10.1145/3711701","title":"Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Universitas Brawijaya; VMware","keywords":"Computer science; Algorithm; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001536477,0.0001334805,0.0004012273,0.0003839519,0.0001640904,0.00009872221,0.0007945953,0.00003821133,5.296557e-7],"category_scores_gemma":[0.0004833849,0.00009196901,0.0001065885,0.00131329,0.0001087652,0.00009946864,0.0002155726,0.0001018458,7.86327e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005176695,"about_ca_system_score_gemma":0.00006489363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002598494,"about_ca_topic_score_gemma":0.000006085491,"domain_scores_codex":[0.9984429,0.00003843158,0.000468161,0.0002906437,0.0006016574,0.0001582075],"domain_scores_gemma":[0.9971592,0.0001134529,0.0005772783,0.0002230957,0.001890329,0.00003664976],"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":[0.0003402437,0.001695312,0.2965546,0.002896464,0.01206018,4.026335e-7,0.005400287,0.307089,0.02631287,0.2980981,0.0008180992,0.04873445],"study_design_scores_gemma":[0.0008483701,0.0002710573,0.01073152,0.0008012122,0.0003410559,4.625509e-7,0.0006370861,0.9828104,0.00321609,0.0001401399,0.00008786937,0.0001147371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.262201,0.0001769565,0.7314068,0.003781717,0.0001648988,0.00133399,0.00001288849,0.0001037818,0.000817892],"genre_scores_gemma":[0.9761931,0.000009047114,0.02362876,0.00005090702,0.00001503648,0.00000809033,0.000009444743,0.000004684584,0.00008088469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7139921,"threshold_uncertainty_score":0.3750388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03685112968071706,"score_gpt":0.282232683337481,"score_spread":0.245381553656764,"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."}}