{"id":"W1966154982","doi":"10.1111/j.1540-5982.2006.00378.x","title":"Formation of buyer‐seller trade networks in a quality‐differentiated product market","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Business; Product (mathematics); Set (abstract data type); Microeconomics; Association (psychology); Commerce; Product differentiation; Industrial organization; Complementary good; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001909965,0.0001981249,0.0005237967,0.000814582,0.001124378,0.002446929,0.0007752307,0.001649057,0.007263775],"category_scores_gemma":[0.009989835,0.0004553763,0.0003587332,0.000642035,0.0015603,0.004615654,0.001581734,0.0007667186,0.0005441448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048006,"about_ca_system_score_gemma":0.0005507896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001261317,"about_ca_topic_score_gemma":0.001187885,"domain_scores_codex":[0.9992605,0.0003474372,0.00003345972,0.0001392439,0.0001104313,0.0001088756],"domain_scores_gemma":[0.9928691,0.004222994,0.001288677,0.0004384772,0.0003473089,0.0008334885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001121634,0.0007116394,0.03769687,0.0002063221,0.000157145,0.002176395,0.002193788,0.2369249,0.01799507,0.6474437,0.003194785,0.05017767],"study_design_scores_gemma":[0.0001918815,0.0002195682,0.01209726,0.00003692405,0.00007550449,0.0004532098,0.001371458,0.6360804,0.002909667,0.3425215,0.003990044,0.00005264457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.920087,0.0001283616,0.06020665,0.0006542599,0.00001786622,0.00008873537,0.00009461012,0.00005023891,0.01867226],"genre_scores_gemma":[0.9920923,0.0000521715,0.005984037,0.00002867823,0.00000624521,0.0000254299,0.00002960172,0.000005849596,0.001775604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007263775,"threshold_uncertainty_score":0.02429974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2221696235685593,"score_gpt":0.2523543694598248,"score_spread":0.03018474589126555,"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."}}