{"id":"W2270847923","doi":"","title":"Changing regional income disparities and fiscal transfers in Canada from 1951 to 1991","year":2011,"lang":"en","type":"article","venue":"Geographical Research","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gini coefficient; Economics; Demographic economics; Inequality; Theil index; Disequilibrium; Transfer payment; Convergence (economics); Per capita income; Economic inequality; Per capita; Development economics; Geography; Economic growth; Demography; Welfare; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.0007547517,0.0001130028,0.0003500571,0.000948532,0.0001354219,0.00003984652,0.0002719079,0.0000791026,0.0004090863],"category_scores_gemma":[0.00007370453,0.0001220033,0.00008139493,0.000826444,0.0001726441,0.0001001912,0.000114178,0.0003487069,0.00004733703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001576478,"about_ca_system_score_gemma":0.00007051882,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9761063,"about_ca_topic_score_gemma":0.920561,"domain_scores_codex":[0.9983851,0.0000411449,0.0004066276,0.000467491,0.0001158062,0.0005838611],"domain_scores_gemma":[0.9992401,0.0002150697,0.00003063986,0.0002003234,0.00002488697,0.0002889649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006726159,0.0000286862,0.913398,0.000009101487,0.0000475571,0.00001670931,0.0004516556,0.00001432228,0.000001347482,0.08382551,0.0002263813,0.001913443],"study_design_scores_gemma":[0.0002590024,0.0000536841,0.9170526,0.00002043251,0.000002048105,8.812108e-7,0.0003836371,0.00151186,0.000004571131,0.07658646,0.003944633,0.0001802526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915846,0.000562115,0.000206146,0.004241145,0.00005387395,0.0001291785,0.0001399378,0.00000624873,0.003076738],"genre_scores_gemma":[0.9986796,0.000465968,0.0001454719,0.0004197208,0.00005545904,0.00004709778,0.0000243456,0.00001153104,0.000150749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05554527,"threshold_uncertainty_score":0.4975151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09929305035582962,"score_gpt":0.2521808253885215,"score_spread":0.1528877750326919,"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."}}