{"id":"W4405635726","doi":"10.53095/88975025","title":"Economic Freedom of North America 2024 Full Dataset","year":2024,"lang":"en","type":"report","venue":"","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Jurisdiction; Geography; Index (typography); Government (linguistics); State (computer science); Political science; Law","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":[0.000833768,0.001044703,0.0009331689,0.003518174,0.0008910126,0.002114177,0.001659612,0.001064094,0.0259283],"category_scores_gemma":[0.005908438,0.0004317015,0.0007645072,0.008235545,0.0002829085,0.001066386,0.001373731,0.00155722,0.02430463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002186802,"about_ca_system_score_gemma":0.002818593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1544908,"about_ca_topic_score_gemma":0.1899192,"domain_scores_codex":[0.9988839,0.0001697303,0.0001165489,0.000246948,0.0003894051,0.0001934618],"domain_scores_gemma":[0.9970349,0.0005019749,0.0004177063,0.0003407125,0.001481414,0.0002232784],"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":[0.00003261793,0.000022685,0.006788793,0.0001658386,0.00003225825,0.00002859877,0.00002410298,0.0003010132,0.00003024657,0.0005436923,0.9891946,0.002835504],"study_design_scores_gemma":[0.0001218,0.00001851205,0.04885057,0.0003343656,0.00002996372,0.00007136143,0.0002690331,0.000804465,0.0001713886,0.0008393029,0.9484478,0.00004155875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006121972,0.00008937465,0.00003445992,0.0001105883,0.00002656979,0.000006397746,0.9981083,0.0000523905,0.0009596437],"genre_scores_gemma":[0.001531248,0.00006963692,0.0001163638,0.00005417921,0.00001380513,0.00006302106,0.9973745,0.00001643698,0.0007607506],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8455092,"threshold_uncertainty_score":0.3071832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05222756623147801,"score_gpt":0.3799963246645519,"score_spread":0.3277687584330738,"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."}}