{"id":"W2249412289","doi":"","title":"Estimating Interregional Utility Differentials","year":2007,"lang":"en","type":"article","venue":"CIRJE F-Series","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stylized fact; Economics; Econometrics; Per capita; Per capita income; Macroeconomics; Population; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006206316,0.000169898,0.0004516637,0.0001850021,0.0001705169,0.0001074704,0.0002460916,0.00009102781,0.001116446],"category_scores_gemma":[0.0001210182,0.0001901151,0.0002372909,0.0001485709,0.0001490394,0.0003675836,0.00009068359,0.0001195822,0.0003771661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006221884,"about_ca_system_score_gemma":0.00001338247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004372204,"about_ca_topic_score_gemma":0.0004140536,"domain_scores_codex":[0.9984467,0.000008003688,0.0007760985,0.0004093386,0.00003735246,0.0003224918],"domain_scores_gemma":[0.9991631,0.00004281528,0.0003371488,0.0003072441,0.00003487412,0.0001148204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001009283,0.0001254124,0.1510981,0.00004006554,0.0002145435,0.00001295479,0.0004397364,0.0001081215,0.0000538169,0.8370121,0.001546482,0.009247713],"study_design_scores_gemma":[0.0005613802,0.0001249009,0.4250072,0.00003304769,0.00002032394,0.0000371458,0.0002424428,0.01523927,0.0004608697,0.4814959,0.07598265,0.000794885],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8327649,0.0007538976,0.1204413,0.002240401,0.001294205,0.0001400668,0.00009246354,0.00007747675,0.04219534],"genre_scores_gemma":[0.9934106,0.00004470417,0.003815418,0.0001880107,0.0003692395,0.000008223394,0.00004246019,0.00001907472,0.00210225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3555162,"threshold_uncertainty_score":0.9997967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04416865952982407,"score_gpt":0.2362108370285159,"score_spread":0.1920421774986918,"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."}}