{"id":"W2157268226","doi":"10.2139/ssrn.902895","title":"Learning from a Piece of Pie: The Empirical Content of Nash Bargaining","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bureau de Coopération Interuniversitaire","funders":"","keywords":"Bargaining problem; Content (measure theory); Economics; Mathematical economics; Mathematics","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":[0.002282744,0.00009648563,0.0002065221,0.00005098913,0.0004485632,0.00003285554,0.0003575564,0.00008866305,0.00002520817],"category_scores_gemma":[0.0002087604,0.00007115954,0.0001369709,0.0002495485,0.000230371,0.00009108828,0.00003105439,0.001191427,0.000003163346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003320132,"about_ca_system_score_gemma":0.001964937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00631294,"about_ca_topic_score_gemma":0.008743015,"domain_scores_codex":[0.9975588,0.0003432148,0.000366337,0.0001234143,0.0004811469,0.001127028],"domain_scores_gemma":[0.9991106,0.0002315624,0.0003128512,0.0001013849,0.0001948496,0.00004877969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005512696,0.0001450633,0.6077896,0.000003403551,0.00020873,0.000002534948,0.02403554,0.001091183,0.003498503,0.3555095,0.0001581448,0.007502601],"study_design_scores_gemma":[0.001333425,0.0005306307,0.2090827,0.00005263667,0.0001258523,0.0000217468,0.3671239,0.001151166,0.0001114963,0.4169487,0.003221813,0.0002958958],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848219,0.002470364,0.005276685,0.0005968387,0.000142151,0.00007497864,0.000002327679,0.00001501203,0.006599774],"genre_scores_gemma":[0.9967076,0.001552876,0.0000942448,0.0000617995,0.0003384914,0.000001230826,0.000002672092,0.00001116841,0.001229966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3987069,"threshold_uncertainty_score":0.9543319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0485532633363369,"score_gpt":0.2911299441558244,"score_spread":0.2425766808194875,"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."}}