{"id":"W4381425887","doi":"10.3982/te182bm","title":"Backmatter of Theoretical Economics Vol. 18 Iss. 2","year":2023,"lang":"en","type":"article","venue":"Theoretical Economics","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of California, Los Angeles; Università Bocconi; Pontificia Universidad Católica de Chile; Curtin University of Technology; University College London; London School of Economics and Political Science; Harvard Kennedy School; University of Oxford; Northwestern University; Massachusetts Institute of Technology; University of New South Wales; York University; University of Pennsylvania; Rheinische Friedrich-Wilhelms-Universität Bonn; Cowles Foundation for Research in Economics; Princeton University; Université de Genève; Concordia University; Yale University","keywords":"Citation; Computer science; Mathematical economics; Operations research; Information retrieval; Library science; Economics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002078586,0.00121872,0.00165324,0.002355714,0.001690955,0.01104538,0.0008752179,0.00456087,0.3401687],"category_scores_gemma":[0.006367778,0.0006833347,0.0009776694,0.002057937,0.006946322,0.004093305,0.002736178,0.005955901,0.1047483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004322662,"about_ca_system_score_gemma":0.00189788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002505068,"about_ca_topic_score_gemma":0.002376591,"domain_scores_codex":[0.9988503,0.0004780842,0.00004273306,0.0002297367,0.0003167474,0.00008232364],"domain_scores_gemma":[0.997646,0.001449975,0.0001248994,0.0003062217,0.000302597,0.0001703113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007977421,0.0001690556,0.001056122,0.0003790916,0.00007705577,0.0001069044,0.0001703381,0.0007330892,0.0002535485,0.5571008,0.4023541,0.03752003],"study_design_scores_gemma":[0.00007624346,0.00005219368,0.001338456,0.001046285,0.00005464773,0.0002075158,0.0002154077,0.001200184,0.0002631547,0.4435482,0.551975,0.00002284932],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002803633,0.02910186,0.005159455,0.0608658,0.008484544,0.00005428611,0.001300825,0.0003690449,0.8918606],"genre_scores_gemma":[0.1160133,0.04280302,0.004739855,0.02464068,0.01472274,0.0002422111,0.001676763,0.001015557,0.7941459],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6598313,"threshold_uncertainty_score":0.9411693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02524317854888766,"score_gpt":0.3133822236009176,"score_spread":0.28813904505203,"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."}}