{"id":"W4388477453","doi":"10.53095/88975019","title":"Economic Freedom of North America 2023 Full Dataset","year":2023,"lang":"en","type":"report","venue":"","topic":"Legal and Constitutional Studies","field":"Economics, Econometrics and Finance","cited_by":0,"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","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":[0.0009716816,0.0008765352,0.0008952304,0.003181596,0.0009131804,0.002091217,0.001545436,0.001068332,0.03720033],"category_scores_gemma":[0.006161416,0.0005113057,0.0005840025,0.00734623,0.0002503791,0.0009754322,0.001340691,0.001708368,0.0303771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002017583,"about_ca_system_score_gemma":0.003105714,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1137361,"about_ca_topic_score_gemma":0.1301816,"domain_scores_codex":[0.9989329,0.0001816388,0.000130636,0.0002459765,0.0003385539,0.0001703241],"domain_scores_gemma":[0.9958581,0.0008295077,0.0006228373,0.0005196003,0.001890531,0.000279376],"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":[0.00002750136,0.00003067699,0.00582722,0.0001150652,0.00002027362,0.00002818378,0.00003027764,0.0002236609,0.00002292051,0.0006287368,0.9908117,0.002233754],"study_design_scores_gemma":[0.0001601861,0.00001774608,0.05701014,0.0002691374,0.00002603612,0.00007061844,0.0003462595,0.0007055873,0.0001642719,0.00112871,0.9400644,0.00003685679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000814361,0.00007379094,0.00006175438,0.0001705683,0.00002604196,0.00001472704,0.9973333,0.00005731754,0.001448223],"genre_scores_gemma":[0.001870099,0.00006322,0.0001750309,0.00006837909,0.00001668324,0.0001508547,0.9963961,0.00002012112,0.001239468],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.886264,"threshold_uncertainty_score":0.2261481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09410896982138024,"score_gpt":0.2708218483740767,"score_spread":0.1767128785526965,"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."}}