{"id":"W4384571183","doi":"10.3982/qe143bm","title":"Backmatter of Quantitative Economics Vol. 14 Iss. 3","year":2023,"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":"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":"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001391389,0.0003863297,0.00117321,0.0007960724,0.0002188088,0.0001260798,0.0005870882,0.0001599313,0.004516273],"category_scores_gemma":[0.0004705419,0.0004845933,0.0003916193,0.0004571413,0.0005583651,0.0007847751,0.0003026608,0.0001853515,0.06140037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002122166,"about_ca_system_score_gemma":0.00006124569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001663737,"about_ca_topic_score_gemma":0.00007399858,"domain_scores_codex":[0.9966869,0.00003189139,0.001554032,0.001023724,0.00002894314,0.0006745245],"domain_scores_gemma":[0.9975038,0.0004379481,0.001103553,0.000628354,0.0001744847,0.0001518577],"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":[0.00007340837,0.0000815631,0.007185247,0.00005878186,0.0004387162,0.000002385224,0.002926191,0.003098859,0.00002124368,0.838953,0.1469858,0.0001748011],"study_design_scores_gemma":[0.002739861,0.0005312547,0.01625325,0.00006430805,0.00005517097,0.000004018192,0.01413353,0.05960867,0.000588496,0.1733305,0.7308686,0.001822306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7524244,0.0009357037,0.000703884,0.0009433794,0.008068843,0.0005308081,0.004183821,0.0001671461,0.2320421],"genre_scores_gemma":[0.6489511,0.01030402,0.03003788,0.001800706,0.0005508887,0.0002578487,0.0005587088,0.0004030549,0.3071359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6656225,"threshold_uncertainty_score":0.9997606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1079146244749241,"score_gpt":0.2685390802994448,"score_spread":0.1606244558245207,"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."}}