{"id":"W3126733488","doi":"10.2139/ssrn.4444411","title":"Correlation in State and Local Tax Changes","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Taxation and Avoidance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"State (computer science); Correlation; Economics; Business; Political science; Mathematics; Geometry","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":[0.001998037,0.00008710779,0.0005350492,0.001699039,0.00051711,0.001876786,0.0003315886,0.0006145273,0.007926827],"category_scores_gemma":[0.01878107,0.000189134,0.0003297995,0.003495823,0.0007165358,0.0009238533,0.0009192217,0.001181327,0.001004516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154798,"about_ca_system_score_gemma":0.0008892887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01715362,"about_ca_topic_score_gemma":0.03775384,"domain_scores_codex":[0.9984013,0.0005567081,0.0001174727,0.0003234628,0.0003122839,0.0002886598],"domain_scores_gemma":[0.9716216,0.01488734,0.006902705,0.002169025,0.003301149,0.001118192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002972761,0.00009374237,0.9877836,0.00001471002,0.00009189837,0.00006160616,0.0003332379,0.001558044,0.000159194,0.002750881,0.001070981,0.005784797],"study_design_scores_gemma":[0.000006658367,0.00004320607,0.994473,0.000008728811,0.00005275796,0.00004218902,0.0005579277,0.002273119,0.0001522126,0.001108295,0.001273441,0.000008469044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914969,0.000239505,0.0004094664,0.0004472413,0.00002146738,0.00001061067,0.0004823621,0.00002206672,0.006870311],"genre_scores_gemma":[0.9978576,0.0000664684,0.00002519574,0.00002599197,0.00001187854,0.000002516096,0.0002713526,0.000004715242,0.001734206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01715362,"threshold_uncertainty_score":0.03410757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128507669106157,"score_gpt":0.2134389172692521,"score_spread":0.2021538405781906,"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."}}