{"id":"W1593312584","doi":"","title":"New Perspectives on Canadian National and Regional Income Inequality","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inequality; Income inequality metrics; Theil index; Immigration; Economic inequality; Demographic economics; Economics; Bootstrapping (finance); Element (criminal law); Income distribution; Econometrics; Development economics; Geography; Economic geography; Political science; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001851551,0.0004144919,0.0006293841,0.005725375,0.006321828,0.004610988,0.00115967,0.0006358182,0.008955915],"category_scores_gemma":[0.005948238,0.0001416047,0.0005627196,0.01415177,0.005160221,0.002252229,0.002176301,0.001253905,0.000192328],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05939844,"about_ca_system_score_gemma":0.03720861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9869435,"about_ca_topic_score_gemma":0.99191,"domain_scores_codex":[0.9981781,0.0002361028,0.00003857104,0.0001661065,0.0006727611,0.0007083723],"domain_scores_gemma":[0.9969598,0.0008102925,0.000279656,0.0001867468,0.001399745,0.0003637864],"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":[0.00009823759,0.00002238636,0.07709666,0.0002502313,0.00007654473,0.0003531925,0.01288082,0.00477954,0.0003080912,0.743169,0.02981153,0.1311538],"study_design_scores_gemma":[0.00001634885,0.00003038563,0.4065706,0.0008751082,0.0001204596,0.0003068922,0.0324039,0.01021979,0.000407311,0.2447694,0.3041262,0.0001535612],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2836705,0.04580116,0.01284566,0.1060253,0.0007191906,0.00004524858,0.00488723,0.0001362432,0.5458694],"genre_scores_gemma":[0.9721177,0.01261146,0.003127429,0.001925743,0.0002872304,0.00002206442,0.0006134709,0.00004250278,0.009252288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9406016,"threshold_uncertainty_score":0.4309678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07840532069935553,"score_gpt":0.3787555440456347,"score_spread":0.3003502233462792,"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."}}