{"id":"W6891437944","doi":"10.3886/e114704","title":"Replication data for: An Estimable Model of Income Redistribution in a Federation: Musgrave Meets Oates","year":2019,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Redistribution (election); Unitary state; Decentralization; Externality; Tax rate; Offset (computer science); Indirect tax; Optimal tax; Tax reform","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":[0.003076293,0.0006640469,0.0008046493,0.001446464,0.0009229748,0.001619144,0.003309059,0.001731121,0.03479314],"category_scores_gemma":[0.01795926,0.0006022462,0.001168117,0.003710724,0.0005509584,0.0008096656,0.001516726,0.001818559,0.0196682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002966465,"about_ca_system_score_gemma":0.003504631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3790649,"about_ca_topic_score_gemma":0.4560429,"domain_scores_codex":[0.998791,0.0004077082,0.00008850315,0.0003292258,0.0002356104,0.0001480152],"domain_scores_gemma":[0.994608,0.001385002,0.0003832056,0.00173978,0.001647211,0.0002367382],"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":[0.0002589563,0.00009346543,0.01591038,0.0002711524,0.0001456656,0.0001043057,0.0002131228,0.01211603,0.0001075279,0.009307407,0.9485352,0.01293683],"study_design_scores_gemma":[0.0009432947,0.00007101411,0.04754391,0.0004304512,0.0001025949,0.0001355692,0.0007199851,0.03000736,0.0005166581,0.0134165,0.9060205,0.00009217857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01593786,0.0004069141,0.003396805,0.001495774,0.0001455276,0.0001684636,0.9702842,0.0007320272,0.007432526],"genre_scores_gemma":[0.03546124,0.0001576433,0.005979733,0.0002146906,0.0000389191,0.00049032,0.9443576,0.0001956944,0.01310418],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3790649,"threshold_uncertainty_score":0.7537169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2284859083530567,"score_gpt":0.4009062201293427,"score_spread":0.1724203117762861,"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."}}