{"id":"W2383650222","doi":"","title":"Task Allocation Algorithm Based on SPSB Auction","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Elevator Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Task (project management); Auction algorithm; Core (optical fiber); Multi-agent system; Algorithm; Mathematical optimization; Operations research; Common value auction; Artificial intelligence; Auction theory; Microeconomics; Revenue equivalence; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005556299,0.0001187645,0.00009991015,0.00008200561,0.0000855008,0.00004300254,0.0001236716,0.00006035912,0.000008304702],"category_scores_gemma":[1.00029e-7,0.0001258675,0.00004849765,0.0001794481,0.000007762576,0.00005332283,0.000003643703,0.00009019076,0.0002049138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006752459,"about_ca_system_score_gemma":0.00000957606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004207106,"about_ca_topic_score_gemma":8.948895e-7,"domain_scores_codex":[0.9994077,0.0000103373,0.0001732563,0.0001763128,0.00008537183,0.0001470328],"domain_scores_gemma":[0.9996272,0.00001448875,0.00002465762,0.0002441491,0.00003848252,0.00005103378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001217895,0.00006990999,0.000007931836,0.00001142291,0.00001102344,3.865464e-7,0.00003839728,0.03233752,0.02686586,0.001004949,0.005614881,0.9340365],"study_design_scores_gemma":[0.0003240984,0.00003593153,0.001306285,0.00001549381,0.000009874992,0.000004162906,0.000003922941,0.5292889,0.004324211,0.0002793648,0.4642292,0.0001785408],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007438768,0.00008765725,0.9965501,0.0003668139,0.00004082718,0.0004933534,0.000009180954,0.000457767,0.001250457],"genre_scores_gemma":[0.8890388,0.000007173845,0.1084632,0.0009343909,0.0007680935,0.0005059143,0.00009873082,0.00003188793,0.0001518338],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.933858,"threshold_uncertainty_score":0.5132728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002799149654245419,"score_gpt":0.1831580236800697,"score_spread":0.1803588740258243,"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."}}