{"id":"W2918148266","doi":"10.53095/88975015","title":"Economic Freedom of North America 2023","year":2023,"lang":"en","type":"report","venue":"","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic freedom; Index of Economic Freedom; Payroll; Index (typography); Government (linguistics); State (computer science); Investment (military); Economics; Economic growth; Business; Economic policy; Political science; Law; Politics; Market economy; Accounting","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":[0.001365973,0.0008464988,0.000465331,0.004055164,0.0009184115,0.003025097,0.000553422,0.0006712433,0.02335103],"category_scores_gemma":[0.003199992,0.0003313399,0.0005217044,0.01056293,0.0003227213,0.001565291,0.001198789,0.001603134,0.009046035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003580745,"about_ca_system_score_gemma":0.009171659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1560227,"about_ca_topic_score_gemma":0.1404602,"domain_scores_codex":[0.9987301,0.0001111629,0.00007371044,0.00009765886,0.0007329641,0.000254428],"domain_scores_gemma":[0.9981197,0.0002563516,0.0003185811,0.000169467,0.0009370256,0.0001989865],"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":[0.00004938571,0.00009210895,0.01786574,0.0002016368,0.00003324294,0.00007419743,0.0002614755,0.0005200274,0.0001055003,0.02395742,0.9134312,0.04340808],"study_design_scores_gemma":[0.00001638145,0.00002254969,0.1047114,0.0002232609,0.00001378469,0.00006835215,0.0003333144,0.0002665349,0.0002687576,0.003813608,0.8902364,0.00002551567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01630633,0.00355592,0.001901735,0.003508396,0.0009269766,0.0005946871,0.5524265,0.0003405733,0.4204389],"genre_scores_gemma":[0.09479056,0.01234963,0.006821847,0.001878272,0.0007074435,0.003073543,0.6187584,0.0005640885,0.2610561],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8439773,"threshold_uncertainty_score":0.310229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08606777733734457,"score_gpt":0.2661479688923808,"score_spread":0.1800801915550363,"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."}}