{"id":"W4310906882","doi":"10.1016/j.jet.2022.105589","title":"Bargaining in small dynamic markets","year":2022,"lang":"en","type":"article","venue":"Journal of Economic Theory","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Boston College; Indiana University; Universitat Autònoma de Barcelona; Københavns Universitet; H2020 European Research Council; Universidad Carlos III de Madrid; University of Oxford; European Research Council; University of Southampton; Deutsche Forschungsgemeinschaft; Brown University; University of Toronto; University of North Carolina","keywords":"Economics; Comparative statics; Microeconomics; Renting; Real estate; Homogeneous; Point (geometry); Matching (statistics); Transaction cost; Database transaction; Function (biology); Gains from trade; Price dispersion; International trade; Trade barrier; Finance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004902209,0.0001516474,0.0005927532,0.0005427844,0.0001138169,0.00004223895,0.0005492468,0.00005147557,0.004062274],"category_scores_gemma":[0.0000720245,0.0001918473,0.0002435465,0.00006922267,0.00005101036,0.0002626338,0.0001927303,0.0004486112,0.0001183412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000871724,"about_ca_system_score_gemma":0.00009056734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002505574,"about_ca_topic_score_gemma":0.00002325946,"domain_scores_codex":[0.9979587,0.00009680145,0.001365811,0.0002530158,0.00001474527,0.0003109006],"domain_scores_gemma":[0.9982254,0.0002357436,0.001170185,0.0002683473,0.000009685948,0.00009065078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002190461,0.00006112017,0.005983426,0.000004901397,0.00007732219,0.00002806544,0.0007739319,0.01147164,0.00001238458,0.9788721,0.0002465273,0.002249515],"study_design_scores_gemma":[0.001363552,0.0001260054,0.003407532,0.00001003963,0.000006105755,0.0001495406,0.001389509,0.00368564,0.00000948002,0.9663851,0.02321405,0.0002534198],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9357067,0.003622983,0.001442255,0.0003337357,0.001679948,0.0001077462,0.00009953581,0.000009836368,0.05699729],"genre_scores_gemma":[0.9970441,0.0001981056,0.0005056829,0.0003077924,0.0001218748,0.00001009332,0.000003109373,0.00003699215,0.001772195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06133749,"threshold_uncertainty_score":0.9968482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02023690891972061,"score_gpt":0.2082166757036197,"score_spread":0.1879797667838991,"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."}}