{"id":"W2101482041","doi":"","title":"The Role of Middlemen inEfficient and Strongly Pairwise Stable Networks","year":2004,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Pairwise comparison; Stability (learning theory); Network formation; Incentive; Power (physics); Complex network; Control (management); Component (thermodynamics); Network structure; Microeconomics; Computer science; Economics; Theoretical computer science; Artificial intelligence; Physics","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":[0.005979538,0.00007632482,0.0001579495,0.0001256105,0.0002952936,0.000135454,0.000627409,0.00005141428,0.00004134218],"category_scores_gemma":[0.0009235205,0.00005307173,0.00004229031,0.0002959671,0.0004944341,0.0000923954,0.0002679511,0.0002461907,0.0000102374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009636125,"about_ca_system_score_gemma":0.0001272068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003172713,"about_ca_topic_score_gemma":0.000244559,"domain_scores_codex":[0.9983341,0.0001845378,0.0004621582,0.0003323063,0.0002978596,0.0003890573],"domain_scores_gemma":[0.9966819,0.002325719,0.00010767,0.0006643364,0.0001151665,0.0001052249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009799786,0.0001370794,0.008774358,0.000002249265,0.00001486005,0.000001107292,0.0006405934,0.176869,0.0003901581,0.108448,0.00003355315,0.704591],"study_design_scores_gemma":[0.002239885,0.0004926581,0.03772542,0.00006661988,0.000008574628,0.00001220955,0.04285775,0.1058205,0.003372306,0.4212246,0.38571,0.0004695678],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9563168,0.0003034235,0.0000710583,0.000514354,0.00003588263,0.0003037265,0.00001044789,0.000008013545,0.04243626],"genre_scores_gemma":[0.9981122,0.0007291634,0.0001681589,0.00001446521,0.00003111124,0.00004480948,0.000001334714,0.000007647174,0.0008910938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7041215,"threshold_uncertainty_score":0.227119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04773436479965467,"score_gpt":0.3490580772922394,"score_spread":0.3013237124925848,"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."}}