{"id":"W1517975639","doi":"","title":"Inference on Income Distributions","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Inference; Econometrics; Randomness; Sampling distribution; Stochastic dominance; Statistical inference; Mathematics; Fiducial inference; Population; Frequentist inference; Statistics; Computer science; Artificial intelligence; Bayesian inference; Sociology","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":[0.008842548,0.0006799139,0.001047536,0.003753577,0.0009987444,0.00323017,0.001859012,0.001298905,0.008264313],"category_scores_gemma":[0.05599759,0.0004024137,0.0009274954,0.002569818,0.002782974,0.007415386,0.002706978,0.003253368,0.001289673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269291,"about_ca_system_score_gemma":0.0007443776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00197572,"about_ca_topic_score_gemma":0.001191309,"domain_scores_codex":[0.9951206,0.002822047,0.0001754454,0.0007931113,0.0008539152,0.0002348686],"domain_scores_gemma":[0.9780896,0.01846442,0.0009603412,0.001587321,0.0007076738,0.0001906969],"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":[0.0000410622,0.00003665813,0.00614959,0.000101925,0.00006746874,0.0001156921,0.0003846178,0.01614398,0.0002144809,0.8985454,0.002930627,0.07526849],"study_design_scores_gemma":[0.000008127207,0.0000126729,0.001799884,0.00009209706,0.00001098221,0.00008117437,0.0001595321,0.04426096,0.0003521156,0.9477286,0.005477875,0.00001607567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02637552,0.001634818,0.9436423,0.004491789,0.0001524601,0.00008212104,0.001135026,0.0002842227,0.02220172],"genre_scores_gemma":[0.7459681,0.005998777,0.2346639,0.001545328,0.0009023119,0.0002995847,0.00262294,0.000212763,0.007786267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008842548,"threshold_uncertainty_score":0.04676437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06681485021123301,"score_gpt":0.3977196898370404,"score_spread":0.3309048396258074,"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."}}