{"id":"W181564763","doi":"","title":"An Agent-Based Approach for Distributed Resource Allocations","year":2009,"lang":"en","type":"preprint","venue":"Spectrum Research Repository (Concordia University)","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Negotiation; Resource allocation; Set (abstract data type); Multi-agent system; Distributed computing; Context (archaeology); Resource (disambiguation); Management science; Operations research; Artificial intelligence; Engineering","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":[0.001410565,0.0008901851,0.0008817414,0.0007924127,0.001268354,0.002891955,0.002498819,0.001707782,0.006216506],"category_scores_gemma":[0.002371235,0.0005692244,0.0009241183,0.001158102,0.001005524,0.0017967,0.002019201,0.001976686,0.001520921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001314354,"about_ca_system_score_gemma":0.002236967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004893811,"about_ca_topic_score_gemma":0.007692953,"domain_scores_codex":[0.9987231,0.000475169,0.00007234272,0.0002245087,0.0004088124,0.00009594389],"domain_scores_gemma":[0.9993914,0.0002739794,0.00004054185,0.00009174428,0.0001351064,0.00006724136],"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":[0.0002066704,0.0002001718,0.0006003188,0.0005164225,0.0002259936,0.0004019414,0.000568384,0.4150229,0.008639114,0.3624309,0.007972568,0.2032146],"study_design_scores_gemma":[0.00007070031,0.00006979364,0.0001173501,0.00007305275,0.00007046512,0.0001627819,0.0001138015,0.8323942,0.002460963,0.105556,0.05887439,0.00003636453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001740575,0.0006663608,0.9900412,0.0002906293,0.0001335956,0.0001049568,0.00002988116,0.0003236248,0.006669191],"genre_scores_gemma":[0.1375841,0.001722132,0.8353916,0.0002829277,0.0001715162,0.0005771126,0.0001322233,0.0001525195,0.02398594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006216506,"threshold_uncertainty_score":0.02079624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1200214794118182,"score_gpt":0.3759288940250844,"score_spread":0.2559074146132662,"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."}}