{"id":"W2171397444","doi":"10.1007/s00199-014-0843-x","title":"A nonparametric analysis of multi-product oligopolies","year":2014,"lang":"en","type":"article","venue":"Economic Theory","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Western University","funders":"Economic and Social Research Council","keywords":"Oligopoly; Cournot competition; Economics; Nonparametric statistics; Product differentiation; Microeconomics; Revealed preference; Public finance; Mathematical economics; Product (mathematics); Bertrand competition; Preference; Econometrics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001037239,0.0001162147,0.0003215106,0.001047855,0.00006148727,0.00006692857,0.0002153796,0.00002806605,0.001392924],"category_scores_gemma":[0.0001601275,0.0001138965,0.0001789617,0.0005585841,0.00006763708,0.0002819911,0.0001061608,0.00005958223,0.0002797317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001925078,"about_ca_system_score_gemma":0.000008770918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006103287,"about_ca_topic_score_gemma":0.0001865212,"domain_scores_codex":[0.9992626,0.00002541955,0.0002701331,0.0002338689,0.00004193039,0.0001660742],"domain_scores_gemma":[0.9992071,0.000189636,0.000208712,0.0003586399,0.00002748987,0.000008460963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009745152,0.0001184691,0.6180912,0.0001048055,0.0009673953,9.728055e-7,0.0001571394,0.001438429,0.0007348544,0.1675651,0.0005239382,0.2102003],"study_design_scores_gemma":[0.0008825616,0.000007849041,0.8981331,0.00001767671,0.003749014,7.681344e-7,0.0003051058,0.05904608,0.0004419975,0.008733181,0.02809152,0.000591155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690076,0.0001525835,0.0007946486,0.00004524294,0.0003460677,0.0000766493,0.000003785392,0.00005552009,0.02951796],"genre_scores_gemma":[0.9988828,0.00000662427,0.0001405925,0.0001904557,0.0002422175,0.000005191804,0.0000113641,0.00001412774,0.0005066289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2800419,"threshold_uncertainty_score":0.9995199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676013120412887,"score_gpt":0.2379913776611,"score_spread":0.2212312464569712,"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."}}