{"id":"W2248878402","doi":"","title":"Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets: AMEC 2010, Toronto, ON, Canada, May 10, 2010, ... Notes in Business Information Processing)","year":2012,"lang":"en","type":"book","venue":"Springer eBooks","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Common value auction; Electronic markets; Computer science; Electronic trading; E-commerce; Operations research; Data science; Business; Industrial organization; World Wide Web; Engineering; Economics; The Internet; Microeconomics","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":[0.001208344,0.002143005,0.000949507,0.001455953,0.0009491452,0.004778375,0.001900489,0.002326893,0.01410326],"category_scores_gemma":[0.001969034,0.001755254,0.0005307624,0.002888576,0.001849756,0.006299446,0.001363578,0.002261364,0.00639127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003152116,"about_ca_system_score_gemma":0.002864939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03898164,"about_ca_topic_score_gemma":0.08123624,"domain_scores_codex":[0.9995233,0.0001045585,0.00003338819,0.00006191224,0.0002331782,0.00004375751],"domain_scores_gemma":[0.9991356,0.0004205388,0.00005462189,0.00009510469,0.0002043111,0.00008987764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008755255,0.00007893445,0.0006171078,0.001357156,0.00007633324,0.000317107,0.0008767931,0.01167719,0.002751786,0.1631914,0.3998904,0.4190783],"study_design_scores_gemma":[0.00006992098,0.00006890776,0.00215572,0.0008777424,0.00009585928,0.0006171343,0.0004249821,0.04318704,0.004012598,0.1438094,0.8045939,0.00008684926],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.005697701,0.3392867,0.4598593,0.01183643,0.003313409,0.0002108364,0.001536597,0.003315266,0.1749438],"genre_scores_gemma":[0.1281302,0.3061121,0.2652843,0.00148567,0.001916356,0.0004173059,0.004248551,0.001638989,0.2907666],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03898164,"threshold_uncertainty_score":0.07750952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454813806569915,"score_gpt":0.191062248348863,"score_spread":0.1765141102831638,"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."}}