{"id":"W7124167367","doi":"10.65109/hsjq2262","title":"Distributed multiagent resource allocation with adaptive preemption for dynamic tasks","year":2014,"lang":"","type":"article","venue":"","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Preemption; Resource allocation; Task (project management); Resource (disambiguation); Multi-agent system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001097439,0.0005881428,0.0006453213,0.0002656942,0.0005007619,0.0006676519,0.00149763,0.0005703665,0.001388095],"category_scores_gemma":[0.002556867,0.0002906301,0.0003992038,0.0002905886,0.0006464694,0.001019866,0.001274255,0.00114343,0.0002757443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004965672,"about_ca_system_score_gemma":0.0007777913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001068361,"about_ca_topic_score_gemma":0.001281586,"domain_scores_codex":[0.999313,0.000243599,0.00004077328,0.0001543562,0.0001612859,0.00008695695],"domain_scores_gemma":[0.9990754,0.0004282975,0.0001187051,0.0001728268,0.0001133996,0.00009129083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002341032,0.0001900001,0.0005569304,0.0001437406,0.00008190341,0.0002275477,0.0002020347,0.8496069,0.01496914,0.03199761,0.0013154,0.1004747],"study_design_scores_gemma":[0.00002934703,0.0000499304,0.00009752582,0.000004860458,0.00001060736,0.00003875497,0.00001390657,0.9862445,0.001532038,0.01034555,0.001626528,0.000006392761],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.011744,0.000187727,0.9864153,0.00008167069,0.0000414549,0.00003394827,0.000006612263,0.0001972551,0.001292072],"genre_scores_gemma":[0.7723572,0.0001811162,0.2237289,0.0001176071,0.00006838621,0.0001759875,0.00002684875,0.00006893887,0.003274888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00149763,"threshold_uncertainty_score":0.005803883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697424960136613,"score_gpt":0.2467388768572081,"score_spread":0.229764627255842,"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."}}