{"id":"W1597341593","doi":"","title":"The trading agent competition: TAC 2002","year":2002,"lang":"en","type":"article","venue":"ERCIM news/ERCIM news online edition","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); The Internet; Business; Server; Computer science; Advertising; Operations research; World Wide Web; Engineering; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005892658,0.0006797338,0.000842583,0.0009439456,0.003300478,0.009846764,0.001875328,0.003872493,0.02245172],"category_scores_gemma":[0.01039687,0.0004673089,0.0005025869,0.001676653,0.0009351884,0.003705737,0.001307486,0.004007217,0.00701011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004074197,"about_ca_system_score_gemma":0.006307777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03387275,"about_ca_topic_score_gemma":0.09217968,"domain_scores_codex":[0.9970481,0.0006497589,0.0001295817,0.0002748095,0.001408227,0.000489616],"domain_scores_gemma":[0.9935649,0.0009306736,0.0003518194,0.0007008173,0.002944193,0.001507568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003611591,0.0001821463,0.000704014,0.000082839,0.00001943867,0.0001820572,0.0001210086,0.003200141,0.0004741108,0.07052676,0.8776454,0.04650095],"study_design_scores_gemma":[0.0001737351,0.0001404732,0.002453329,0.0001166017,0.00002747549,0.0001804074,0.0001803976,0.01605854,0.0008739777,0.03116355,0.9485759,0.00005570446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03819128,0.008900926,0.036201,0.03771994,0.01208323,0.0005302566,0.006819388,0.002741852,0.8568121],"genre_scores_gemma":[0.3493581,0.00300318,0.02582437,0.009712171,0.00331387,0.0003835372,0.01691632,0.00103902,0.5904493],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03387275,"threshold_uncertainty_score":0.07510853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1230815473864956,"score_gpt":0.3633137707378103,"score_spread":0.2402322233513147,"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."}}