{"id":"W1524367418","doi":"","title":"Multi-Agent Bilateral Bargaining with Endogenous Protocol","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Census; Renting; Housing discrimination; Census tract; Race (biology); Demographic economics; Economics; State (computer science); Labour economics; Value (mathematics); Work (physics); Property value; Business; Public economics; Law; Political science; Economic growth; Sociology; Finance; Population; Demography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004205245,0.0005560628,0.001192255,0.0009533627,0.0002619098,0.0003586934,0.001051491,0.0005939765,0.0002221252],"category_scores_gemma":[0.0002691595,0.000598581,0.0002534907,0.0002038455,0.0003252344,0.0001571421,0.000847189,0.002134888,0.0002350179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981228,"about_ca_system_score_gemma":0.0004823122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004749685,"about_ca_topic_score_gemma":0.0001537006,"domain_scores_codex":[0.995132,0.0002079111,0.00157638,0.001658158,0.0001080611,0.001317476],"domain_scores_gemma":[0.9972385,0.0002000896,0.0007585693,0.001441559,0.00008119023,0.00028015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002417854,0.004220039,0.3196967,0.005699347,0.002065941,0.001605857,0.01800463,0.4755166,0.000694559,0.1257085,0.00004830803,0.04432163],"study_design_scores_gemma":[0.06839055,0.007573152,0.0918294,0.01553009,0.0001058011,0.001545417,0.008305351,0.1587341,0.004439395,0.3121368,0.3103445,0.02106552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4117064,0.0003140635,0.0003975568,0.0002617514,0.001443339,0.1325599,0.00064474,0.000375093,0.4522971],"genre_scores_gemma":[0.9404555,0.0001582314,0.002062307,0.00006179533,0.0003084187,0.05425338,0.00004579061,0.0001709368,0.00248367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.528749,"threshold_uncertainty_score":0.9996465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1139164674160573,"score_gpt":0.3167566311309638,"score_spread":0.2028401637149064,"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."}}