{"id":"W2497726404","doi":"","title":"aKIA Automobile : a Multi-Agent System in E-Commerce","year":2002,"lang":"en","type":"article","venue":"","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Matching (statistics); Product (mathematics); Domain (mathematical analysis); E-commerce; Variety (cybernetics); Architecture; Recommender system; Systems architecture; Selection (genetic algorithm); Automotive industry; Information retrieval; World Wide Web; 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":[0.0006814084,0.0003896672,0.0005552171,0.0003872638,0.0009796522,0.001513108,0.0009220045,0.001279987,0.004128797],"category_scores_gemma":[0.0009885804,0.00030989,0.000264447,0.0005614217,0.0004978556,0.001610801,0.001341149,0.001040684,0.001815571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003201679,"about_ca_system_score_gemma":0.0008587812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001843416,"about_ca_topic_score_gemma":0.001827561,"domain_scores_codex":[0.9996017,0.0001093307,0.00004423336,0.00007116493,0.0001275661,0.00004601884],"domain_scores_gemma":[0.9996165,0.00008486481,0.00004247693,0.00006073825,0.0001041855,0.00009125285],"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":[0.001331551,0.001507455,0.01061019,0.001177826,0.0003814474,0.003349388,0.002385065,0.07001209,0.1234042,0.1278284,0.03685484,0.6211574],"study_design_scores_gemma":[0.0003208349,0.0007636415,0.003706461,0.0001059439,0.0003557836,0.002054682,0.0004164387,0.686825,0.04878503,0.01988876,0.2365842,0.0001931745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1086459,0.002309375,0.83399,0.001835842,0.0005527021,0.001013688,0.0002024396,0.01278088,0.03866915],"genre_scores_gemma":[0.5707335,0.001437454,0.384705,0.0005712886,0.0001971688,0.0005857311,0.0003761427,0.0002111594,0.04118254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004128797,"threshold_uncertainty_score":0.01381218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0307768822399221,"score_gpt":0.2299908905014006,"score_spread":0.1992140082614784,"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."}}