{"id":"W4400791594","doi":"10.1002/ise3.92","title":"A fuzzy approach to economic freedom performance","year":2024,"lang":"en","type":"article","venue":"International Studies of Economics","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TOPSIS; Context (archaeology); Economic freedom; Fuzzy logic; Weighting; Democracy; Multiple-criteria decision analysis; Political science; Mathematics; Geography; Computer science; Operations research; Law; Artificial intelligence","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":[0.003858965,0.0005690096,0.0004387736,0.007484423,0.001016087,0.00311542,0.0004069576,0.0004920515,0.004464169],"category_scores_gemma":[0.00680572,0.0001447632,0.0007025834,0.004613004,0.001887568,0.001648539,0.001063243,0.0007383954,0.0002406713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002655675,"about_ca_system_score_gemma":0.001237912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004641736,"about_ca_topic_score_gemma":0.004407077,"domain_scores_codex":[0.9969751,0.001433817,0.000196862,0.0001408386,0.001073175,0.0001802169],"domain_scores_gemma":[0.9965788,0.002085982,0.000422662,0.0001000443,0.0006585534,0.0001540637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004309223,0.0004698716,0.04766132,0.0008613996,0.0005057243,0.0006569796,0.004755162,0.2330529,0.004656949,0.4160028,0.003374514,0.2875714],"study_design_scores_gemma":[0.00007335534,0.0006119632,0.04969326,0.0006086361,0.0001613667,0.000388121,0.01224951,0.5730928,0.002936032,0.3443688,0.01563609,0.000180127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4839093,0.001920599,0.3792325,0.001700941,0.0002396956,0.0004392293,0.0006589011,0.0001036776,0.1317952],"genre_scores_gemma":[0.9716078,0.0002391065,0.02663383,0.00002602974,0.00003202513,0.00006511864,0.00006671046,0.000003566062,0.001325983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007484423,"threshold_uncertainty_score":0.02040839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07872406827481108,"score_gpt":0.3347630345319282,"score_spread":0.2560389662571171,"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."}}