{"id":"W2559022717","doi":"10.2791/107946","title":"PREDICT 2016 Country factsheets: EU Member States – Benchmarking with Non-EU Countries","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Comparability; Purchasing power parity; China; Eu countries; European union; Member states; Business; Purchasing power; International trade; Regional science; Geography; Economics; Finance; Marketing","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":[0.006537419,0.001313998,0.001222105,0.008119327,0.0008068521,0.003984514,0.001765296,0.001761016,0.01259279],"category_scores_gemma":[0.0276558,0.0006440296,0.0009316009,0.02291462,0.0004228105,0.002778252,0.001847496,0.001442578,0.006987092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001206595,"about_ca_system_score_gemma":0.002412269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01899623,"about_ca_topic_score_gemma":0.01014116,"domain_scores_codex":[0.9930744,0.001564128,0.0008337316,0.0006354405,0.003395812,0.0004963368],"domain_scores_gemma":[0.9817664,0.00395308,0.004353286,0.00393506,0.005280325,0.0007118317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001073849,0.0003707983,0.03440564,0.0007786814,0.0002884287,0.0005676599,0.000401419,0.0409348,0.0009317893,0.02710515,0.8259297,0.0672121],"study_design_scores_gemma":[0.0003437557,0.0003124855,0.1334914,0.0007164143,0.000131786,0.0005390278,0.000632684,0.0177227,0.005409765,0.009842519,0.8306643,0.0001931974],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06186378,0.0009516299,0.01043246,0.001416401,0.0007642814,0.0005310142,0.783467,0.00370425,0.1368691],"genre_scores_gemma":[0.179337,0.0007708652,0.01048161,0.000591301,0.0002491146,0.001314642,0.7864107,0.001684013,0.01916073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01899623,"threshold_uncertainty_score":0.04212707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0267739437332169,"score_gpt":0.3341013323827187,"score_spread":0.3073273886495018,"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."}}