{"id":"W4382238952","doi":"10.3982/qe142fm","title":"Frontmatter of Quantitative Economics Vol. 14 Iss. 2","year":2023,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of California, San Diego; Rheinische Friedrich-Wilhelms-Universität Bonn; University of Oxford; York University; University College London; London School of Economics and Political Science; University of Rochester; Georgetown University; Johns Hopkins University; University of California, Irvine; University of California, Santa Barbara; University of Wisconsin-Madison; University of Chicago; Northwestern University; Euskal Herriko Unibertsitatea; California Institute of Technology; University of Pennsylvania; Core Research for Evolutional Science and Technology; Princeton University; Massachusetts Institute of Technology; Washington University in St. Louis; Yale University","keywords":"Citation; Library science; Computer science; Operations research; Information retrieval; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001502165,0.0002827605,0.0006273517,0.0003912696,0.0004140945,0.000100388,0.0005894405,0.0002012785,0.001606823],"category_scores_gemma":[0.0004794688,0.0003361759,0.0002514795,0.0003320317,0.0009712737,0.0007652985,0.0001361714,0.0001833265,0.005803557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005393107,"about_ca_system_score_gemma":0.0005640498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008764814,"about_ca_topic_score_gemma":0.002235529,"domain_scores_codex":[0.9976521,0.0002195841,0.0008225036,0.0005751342,0.0001111651,0.0006195834],"domain_scores_gemma":[0.9974359,0.001203075,0.0005929946,0.000295976,0.0002808514,0.0001912044],"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":[0.00009791376,0.00007686683,0.01336317,0.00002806135,0.0004026259,0.000003586212,0.03561153,0.001468875,0.0000344418,0.8079221,0.1383768,0.002614058],"study_design_scores_gemma":[0.00143815,0.0002556395,0.03311436,0.00005839837,0.00005831748,0.000001002093,0.0677508,0.006380529,0.0002660515,0.07856645,0.8109426,0.001167676],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8872862,0.0001145174,0.0002926397,0.004818184,0.002123555,0.0003481157,0.0001762115,0.0001530193,0.1046875],"genre_scores_gemma":[0.8318272,0.003049422,0.03779552,0.001527489,0.000615925,0.0001961828,0.0003735042,0.0002135,0.1244012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7293556,"threshold_uncertainty_score":0.999909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07818279205668138,"score_gpt":0.3410686140856567,"score_spread":0.2628858220289753,"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."}}