{"id":"W30050666","doi":"10.3233/jid-2011-15202","title":"AdSCHE: DESIGN OF AN AUCTION-BASED FRAMEWORK FOR DECENTRALIZED SCHEDULING","year":2011,"lang":"en","type":"article","venue":"Journal of Integrated Design and Process Science","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Distributed computing; Scheduling (production processes); Mathematical optimization; Mathematics","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":[0.009381687,0.0001238782,0.0002833597,0.0004735251,0.0003625386,0.0001592333,0.0009543162,0.0000884343,0.0001639221],"category_scores_gemma":[0.005869719,0.00007881725,0.00007113568,0.001997132,0.0007177769,0.00104379,0.00001186792,0.0002175506,0.000002884198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002747361,"about_ca_system_score_gemma":0.001161781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002821051,"about_ca_topic_score_gemma":2.169146e-7,"domain_scores_codex":[0.9977112,0.0001954213,0.0008202234,0.0002875816,0.0007706139,0.0002148922],"domain_scores_gemma":[0.9942656,0.001220357,0.001034113,0.0002327166,0.003001317,0.0002459463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01441608,0.002272476,0.003138211,0.0001074683,0.0001291341,0.00001645612,0.01773605,0.3609419,0.1838341,0.1871729,0.000356749,0.2298784],"study_design_scores_gemma":[0.000483637,0.0007209478,0.0001838149,0.0001035587,0.00002961737,0.00004988551,0.003363788,0.1608754,0.3204383,0.513537,0.00008130309,0.0001327857],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06806961,0.0001345059,0.9312333,0.00009716194,0.0001759139,0.0002479753,0.000003320764,0.00001178558,0.00002638873],"genre_scores_gemma":[0.5636815,0.00001175451,0.436209,0.00005534467,0.00001908809,0.000008758909,1.499143e-7,0.000004134818,0.00001020224],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4956119,"threshold_uncertainty_score":0.7027025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2112029928627206,"score_gpt":0.4238072854260604,"score_spread":0.2126042925633398,"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."}}