{"id":"W4253496674","doi":"10.3982/qe52bm","title":"Backmatter of Quantitative Economics Vol. 5 Iss. 2","year":2014,"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":"Université de Paris; Peking University; University of Tokyo; Tel Aviv University; Toulouse School of Economics; Monash University; University College London; University of Oxford; Harvard University; Northwestern University; Singapore Management University; York University; University of Pennsylvania; Massachusetts Institute of Technology; Indian Statistical Institute; Yale University","keywords":"Citation; Computer science; Library 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":[],"category_scores_codex":[0.001628699,0.0002812818,0.000635327,0.000228226,0.0003579649,0.00009979172,0.0005789509,0.0001890472,0.0007810931],"category_scores_gemma":[0.0005048071,0.0003282176,0.0002306931,0.0001478439,0.001090006,0.0007315664,0.00009757048,0.0001745655,0.0009765651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004487212,"about_ca_system_score_gemma":0.0003956391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007613253,"about_ca_topic_score_gemma":0.001795337,"domain_scores_codex":[0.9977153,0.0003177754,0.0008120451,0.0005445164,0.00009402158,0.000516329],"domain_scores_gemma":[0.9971963,0.001345335,0.0006806216,0.0003147465,0.0002625355,0.0002005096],"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":[0.00005531443,0.00006650572,0.008224995,0.00001633979,0.0001738245,3.40049e-7,0.01300005,0.000530425,0.0000228099,0.9686956,0.006242095,0.002971732],"study_design_scores_gemma":[0.001517877,0.0003764208,0.02039632,0.00005878233,0.00006115121,0.000001266334,0.0271019,0.007409829,0.0004026794,0.1221994,0.8192817,0.001192706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8626797,0.00009494568,0.001902394,0.003730374,0.001461358,0.0002906151,0.00006652856,0.00006348096,0.1297106],"genre_scores_gemma":[0.9410017,0.001041438,0.04973399,0.001245314,0.0003496103,0.00004989722,0.00006504486,0.00008375115,0.006429212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8464962,"threshold_uncertainty_score":0.999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05192850740990924,"score_gpt":0.3210925211984123,"score_spread":0.2691640137885031,"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."}}