{"id":"W4312592681","doi":"10.53095/88975008","title":"Economic Freedom of North America 2022 Full Dataset","year":2022,"lang":"en","type":"report","venue":"","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic freedom; Index of Economic Freedom; Payroll; Index (typography); Government (linguistics); State (computer science); Economics; Investment (military); Freedom of information; Business; Economic growth; Economic policy; Political science; Law; Market economy; Accounting; Politics","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":[0.0009651281,0.001004555,0.000890393,0.003277751,0.001032157,0.002378313,0.001571688,0.00119701,0.04097135],"category_scores_gemma":[0.005781203,0.0005557108,0.0006403249,0.007409155,0.0002722031,0.001081237,0.001592303,0.001765861,0.03263191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002095471,"about_ca_system_score_gemma":0.003384354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.107894,"about_ca_topic_score_gemma":0.1435975,"domain_scores_codex":[0.9989154,0.0001724666,0.0001210628,0.0002531664,0.0003450656,0.0001927833],"domain_scores_gemma":[0.9963472,0.0006752299,0.0005087975,0.0004593834,0.001685944,0.0003232872],"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":[0.00002562284,0.00002681844,0.005629232,0.0001298114,0.00001962869,0.00002983163,0.00003687975,0.0001879038,0.00002498423,0.0006347277,0.9909562,0.002298382],"study_design_scores_gemma":[0.0001333091,0.00001653768,0.05210659,0.0002708503,0.00002321404,0.00006278488,0.0003607839,0.0004926759,0.000138613,0.0009628328,0.945399,0.00003282495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006943895,0.00006794321,0.00004886234,0.0001758604,0.0000281147,0.00001349217,0.9974462,0.00005276793,0.001472405],"genre_scores_gemma":[0.001427712,0.00005787253,0.0001608194,0.00008151883,0.00001660706,0.0001492311,0.9967659,0.00001878889,0.001321696],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.892106,"threshold_uncertainty_score":0.214532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05157081710954108,"score_gpt":0.3671669192271477,"score_spread":0.3155961021176066,"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."}}