{"id":"W2135171444","doi":"10.5539/ijef.v9n7p14","title":"Fitness Landscape and Tax Planning: NK Model for Fiscal Federalism","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fiscal federalism; Tax planning; Interdependence; Federalism; Economics; Cooperative federalism; Fitness landscape; Perspective (graphical); Public economics; Economic system; Tax reform; Computer science; Political science; Market economy; Sociology; Tax avoidance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006748893,0.0003924051,0.0008269874,0.0006795653,0.0008321989,0.001811589,0.001464212,0.001949985,0.01056442],"category_scores_gemma":[0.00306528,0.0002946069,0.0008875165,0.0006809722,0.001545712,0.002138468,0.001613966,0.001570491,0.0006894742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002207598,"about_ca_system_score_gemma":0.001088221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01048564,"about_ca_topic_score_gemma":0.00598918,"domain_scores_codex":[0.9996717,0.0001612264,0.0000103935,0.00006761936,0.00002847292,0.00006065385],"domain_scores_gemma":[0.9993877,0.0002746195,0.00008259479,0.00005414989,0.00006953759,0.0001313417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004185615,0.00002854856,0.001282432,0.00002774901,0.00002424586,0.0001120737,0.00007569634,0.7780683,0.0002432506,0.2138593,0.001909551,0.004327004],"study_design_scores_gemma":[0.00002318288,0.00001869961,0.0005177622,0.00001085432,0.000008976647,0.00003956322,0.0000466399,0.8970124,0.00002947925,0.1005169,0.001764252,0.00001138636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2856965,0.001064232,0.6109684,0.008922227,0.0002249407,0.00009676491,0.001208703,0.0003634064,0.09145478],"genre_scores_gemma":[0.9505361,0.0003414591,0.02562003,0.0002756007,0.00006797969,0.0001616216,0.0002688577,0.00007621327,0.02265207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01056442,"threshold_uncertainty_score":0.0353415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05884261907584697,"score_gpt":0.269488093503975,"score_spread":0.210645474428128,"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."}}