{"id":"W4393403108","doi":"10.1093/jeg/lbae005","title":"The nature, causes, and consequences of inter-regional inequality","year":2024,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Inequality; Context (archaeology); Social inequality; Economic geography; Economics; Politics; Economic inequality; Development economics; Economic system; Political science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002479244,0.0001374655,0.0003440298,0.00164591,0.001293109,0.003681862,0.0007291221,0.0008044553,0.004180566],"category_scores_gemma":[0.00908065,0.0001238157,0.000317333,0.002151209,0.005139506,0.002049596,0.00300893,0.001290952,0.000252965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002141247,"about_ca_system_score_gemma":0.001106966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01066284,"about_ca_topic_score_gemma":0.01175617,"domain_scores_codex":[0.9973617,0.001352361,0.00009686527,0.0003043776,0.0003732999,0.0005113632],"domain_scores_gemma":[0.9926993,0.003052052,0.001871798,0.0004622555,0.001325592,0.0005890077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001297356,0.0001037133,0.4374837,0.0004103002,0.000252497,0.001051226,0.009217053,0.003560386,0.0007287419,0.4423458,0.01989559,0.08482127],"study_design_scores_gemma":[0.00001481202,0.00005635008,0.604847,0.001074653,0.000123293,0.0006501792,0.03411221,0.005608994,0.0007824505,0.3094628,0.04320974,0.00005762744],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7796173,0.0150186,0.009844238,0.09765925,0.0005264487,0.00004396657,0.001020023,0.00005503621,0.09621517],"genre_scores_gemma":[0.9972481,0.001454872,0.0002280073,0.0004181321,0.0001502447,0.000006300102,0.00006251255,0.000006242978,0.0004254214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01066284,"threshold_uncertainty_score":0.02120149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609973476182244,"score_gpt":0.2479049890080895,"score_spread":0.2218052542462671,"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."}}