{"id":"W4233806041","doi":"10.3982/qe42fm","title":"Frontmatter of Quantitative Economics Vol. 4 Iss. 2","year":2013,"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; University of California, Los Angeles; University of Bristol; Universitat Pompeu Fabra; University of Toronto; University College London; London School of Economics and Political Science; Institució Catalana de Recerca i Estudis Avançats; University of Wisconsin-Madison; University of Miami; York University; University of Pennsylvania; Massachusetts Institute of Technology; University of Southern California; Universiteit van Tilburg; Yale University","keywords":"Citation; Library science; Computer science; Information retrieval","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":[0.0007827547,0.0002866399,0.0006125476,0.0002269115,0.0003379883,0.0001462177,0.000576541,0.0001928914,0.006527992],"category_scores_gemma":[0.0002778683,0.0003257996,0.0002259557,0.0001329596,0.001053429,0.001300137,0.0001019355,0.0001776588,0.005741078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005639851,"about_ca_system_score_gemma":0.0004778931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003696967,"about_ca_topic_score_gemma":0.001914412,"domain_scores_codex":[0.99779,0.00020621,0.0008407921,0.0005231907,0.00009141697,0.0005483357],"domain_scores_gemma":[0.9976135,0.0008672755,0.0006586583,0.0002929962,0.0003499019,0.0002176049],"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":[0.00005052071,0.0001310826,0.01784065,0.00002218605,0.0003965841,8.385974e-7,0.02833954,0.0004319464,0.00005846309,0.8575212,0.09090066,0.004306352],"study_design_scores_gemma":[0.00208041,0.0004509003,0.07072667,0.00007824629,0.00008153557,0.000001848576,0.1009564,0.006733412,0.0005080344,0.1671203,0.6493687,0.001893599],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8531113,0.0001593835,0.0005263012,0.004344191,0.001159411,0.0004817613,0.00006485954,0.00005596553,0.1400968],"genre_scores_gemma":[0.887396,0.0008614585,0.06989527,0.001445135,0.0003194694,0.0002005061,0.00008443249,0.0001048089,0.0396929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6904009,"threshold_uncertainty_score":0.9999194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0516304876472408,"score_gpt":0.3108339558660613,"score_spread":0.2592034682188205,"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."}}