{"id":"W6928704357","doi":"10.3886/e124901v1","title":"Data and code for: Dynamic Capital Tax Competition under the Source Principle","year":2022,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Tax competition; Capital (architecture); Context (archaeology); Externality; Competition (biology); Double taxation; Perspective (graphical); Indirect tax; European union","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":[0.001302776,0.001551049,0.001035611,0.004178861,0.0006847222,0.003229895,0.002441054,0.002268961,0.1406876],"category_scores_gemma":[0.008923993,0.0007595443,0.0008636593,0.01006894,0.0004469843,0.001972477,0.001973636,0.002273381,0.1480483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002472502,"about_ca_system_score_gemma":0.002896688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06936616,"about_ca_topic_score_gemma":0.07627482,"domain_scores_codex":[0.9986808,0.0002021394,0.000216479,0.0002619264,0.0003965257,0.0002421108],"domain_scores_gemma":[0.9953439,0.001259959,0.000835215,0.0009000108,0.001338512,0.0003223671],"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":[0.00002464653,0.00001094324,0.0005468847,0.000218637,0.000007907644,0.00001104745,0.00001731205,0.0002259922,0.00002572737,0.0007757436,0.9969928,0.001142432],"study_design_scores_gemma":[0.0002268701,0.000009897612,0.004002529,0.0002390045,0.00001023295,0.00003548923,0.0001056091,0.0005237758,0.0001621809,0.001646691,0.9930106,0.00002712467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005892797,0.00001705288,0.00003088498,0.00007965976,0.000009589326,0.000005052603,0.9990156,0.0001294151,0.000653894],"genre_scores_gemma":[0.0005097748,0.00005099448,0.0002434941,0.00005142199,0.000007868223,0.00006531686,0.9975632,0.0001150966,0.001392774],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1406876,"threshold_uncertainty_score":0.470647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06122766003891302,"score_gpt":0.3335676305037911,"score_spread":0.2723399704648781,"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."}}