{"id":"W4412917038","doi":"10.3982/qe163bm","title":"Backmatter of Quantitative Economics Vol. 16 Iss. 3","year":2025,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Toulouse School of Economics; Harvard Kennedy School; Stockholms Universitet; Universität Mannheim; Institució Catalana de Recerca i Estudis Avançats; University of Bristol; Universitat Pompeu Fabra; National University of Singapore; University College London; London School of Economics and Political Science; Cowles Foundation for Research in Economics; Harvard University; Northwestern University; York University; University of Pennsylvania; University of Minnesota; Princeton University; University of New South Wales; Massachusetts Institute of Technology; Concordia University; Yale University","keywords":"Economics","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":[0.003401814,0.001633531,0.002262826,0.002905233,0.00125633,0.01036924,0.0009968888,0.00259506,0.3313666],"category_scores_gemma":[0.009236237,0.0007526719,0.001433728,0.003051691,0.004322613,0.004313819,0.003655419,0.005354347,0.1179215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002984544,"about_ca_system_score_gemma":0.00171369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001702261,"about_ca_topic_score_gemma":0.001389163,"domain_scores_codex":[0.9979132,0.0008906283,0.0001171283,0.0004175439,0.0005775442,0.00008391513],"domain_scores_gemma":[0.9958631,0.002043642,0.0002518946,0.0008641202,0.000744704,0.0002324814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000141479,0.00016953,0.001535371,0.0008701242,0.000155823,0.0001121373,0.0001496941,0.001299914,0.0006626194,0.4198739,0.4912381,0.08379137],"study_design_scores_gemma":[0.00005489622,0.00006255812,0.001815276,0.001017253,0.00005457749,0.0002215652,0.00008261815,0.001701215,0.000447185,0.2817098,0.7128016,0.000031596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003170794,0.07557239,0.02658998,0.0458849,0.03908666,0.0001360027,0.004699421,0.001320134,0.8035397],"genre_scores_gemma":[0.07452939,0.05837324,0.01196169,0.01512095,0.02786933,0.0003145102,0.003590552,0.002033885,0.8062065],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6686334,"threshold_uncertainty_score":0.9537244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06232369946139017,"score_gpt":0.2635292542590809,"score_spread":0.2012055547976907,"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."}}