{"id":"W1529685268","doi":"","title":"Code and data files for \"Consumption, Income, and Wealth Inequality in Canada\"","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inequality; Consumption (sociology); Code (set theory); Economic inequality; Data file; Economics; Demographic economics; Public economics; Business; Computer science; Database; Sociology; Mathematics; Programming language; Social science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001224624,0.001156884,0.001439285,0.009306851,0.002163567,0.002433533,0.002320141,0.0008893196,0.3791619],"category_scores_gemma":[0.01249902,0.0006939192,0.001034379,0.02488035,0.0005346987,0.001114615,0.001523493,0.001630345,0.08449391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01534298,"about_ca_system_score_gemma":0.03619877,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9534969,"about_ca_topic_score_gemma":0.9514083,"domain_scores_codex":[0.9980468,0.000103439,0.0001833383,0.000181801,0.0009552657,0.0005293876],"domain_scores_gemma":[0.9848209,0.001408844,0.0007999503,0.0008551299,0.01099417,0.001120996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003651615,0.00003087386,0.003489313,0.0001705344,0.00001269677,0.00001602928,0.00008161273,0.0002038153,0.00003403926,0.001549322,0.9881747,0.006200526],"study_design_scores_gemma":[0.0002110733,0.0000198536,0.07020064,0.00039407,0.00003293308,0.00008156264,0.0006389969,0.0007816304,0.0004013701,0.001910217,0.9252269,0.0001008301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003310679,0.00003307534,0.0001310522,0.0001168074,0.00003371348,0.00009932358,0.9952898,0.0002062125,0.003758945],"genre_scores_gemma":[0.003874073,0.0002645424,0.001052576,0.0001550758,0.00003624928,0.0006859359,0.9761522,0.0003295896,0.01744973],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3791619,"threshold_uncertainty_score":0.8855502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1002453552672723,"score_gpt":0.3339041410654744,"score_spread":0.2336587857982021,"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."}}