{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008984173,0.0004432505,0.0003502875,0.0001454812,0.0004607109,0.00043773,0.0009714002,0.0002142059,0.0000407411],"category_scores_gemma":[0.0002362865,0.0003895805,0.0001256022,0.0004959319,0.0001748663,0.000634562,0.0002829135,0.0003019686,0.0000937599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003731285,"about_ca_system_score_gemma":0.0001361571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004108662,"about_ca_topic_score_gemma":0.00004080138,"domain_scores_codex":[0.9966896,0.0002534714,0.0006386048,0.0009708439,0.0007199984,0.0007274476],"domain_scores_gemma":[0.997161,0.0004221606,0.0005730395,0.001157816,0.0004555361,0.0002304364],"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":[0.0001907855,0.00008387459,0.0001453805,0.0000678788,0.00008955325,7.093366e-7,0.0008296556,0.955107,0.0001455952,0.01602958,0.0005319105,0.02677809],"study_design_scores_gemma":[0.001747791,0.002604389,0.002654212,0.0001665197,0.00009385143,0.000006660312,0.0001838722,0.980834,0.000410937,0.0001027931,0.01066104,0.0005339223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001275916,0.000029408,0.993839,0.001290553,0.0003152699,0.001810845,0.00001533082,0.0002411924,0.001182514],"genre_scores_gemma":[0.8560102,0.000009610684,0.139248,0.0002404383,0.00008645024,0.000112357,0.00025413,0.00003788455,0.004000965],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8547342,"threshold_uncertainty_score":0.9998556,"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."}}