{"id":"W4405661138","doi":"10.53095/88975024","title":"Economic Freedom of North America 2024 U.S. Edition","year":2024,"lang":"en","type":"report","venue":"","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"History; Political science; Economic history; Library science; Computer science","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":[0.001361244,0.001543816,0.0007476332,0.004331255,0.001194339,0.004022154,0.001053099,0.0008596248,0.04456329],"category_scores_gemma":[0.00450787,0.0004874824,0.0006425116,0.01195978,0.0004848107,0.002670831,0.001545596,0.002441681,0.03226648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00456224,"about_ca_system_score_gemma":0.01117843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2074886,"about_ca_topic_score_gemma":0.1715413,"domain_scores_codex":[0.9982762,0.0001050666,0.0001129435,0.0001464875,0.001107392,0.0002517795],"domain_scores_gemma":[0.9971727,0.0002029153,0.0002210698,0.0001630674,0.00206546,0.0001747867],"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":[0.00002176416,0.00001715902,0.001631946,0.0001182487,0.000009103203,0.00002031992,0.00005675136,0.0001491047,0.00004705777,0.003944735,0.9748488,0.01913505],"study_design_scores_gemma":[0.000006826,0.00001093465,0.01329156,0.0001699661,0.000006154152,0.0000174211,0.0001031276,0.00006950831,0.00007396806,0.0007632898,0.9854724,0.00001495363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00320572,0.007490699,0.0009614213,0.003266433,0.005088148,0.0002192293,0.6879615,0.0009793454,0.2908275],"genre_scores_gemma":[0.02996058,0.01541712,0.003345801,0.002968748,0.001405764,0.001576244,0.6527098,0.0009191577,0.2916968],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7925115,"threshold_uncertainty_score":0.4125617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03436620901786436,"score_gpt":0.237515311275566,"score_spread":0.2031491022577017,"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."}}