{"id":"W2794326993","doi":"10.2760/784503","title":"PREDICT 2017 Country Factsheets:EU Member States – Data in Current Prices","year":2017,"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":"China; Purchasing power; Purchasing; European union; Member states; State (computer science); Member state; Business; International trade; Economy; Geography; Economics; 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":[0.002016129,0.001860508,0.001611419,0.00930634,0.0005571611,0.004862184,0.001913094,0.002119279,0.04218893],"category_scores_gemma":[0.01502148,0.001072892,0.0008032745,0.02698766,0.000470973,0.003300529,0.001209014,0.00233747,0.05184802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001357729,"about_ca_system_score_gemma":0.002705188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02933977,"about_ca_topic_score_gemma":0.01367452,"domain_scores_codex":[0.9966576,0.0003544051,0.000427796,0.0003417683,0.001947138,0.0002711706],"domain_scores_gemma":[0.9878772,0.003420031,0.002636391,0.00169472,0.004012999,0.0003585505],"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":[0.0002171842,0.00005905348,0.003548831,0.0002884083,0.0000397399,0.0001191329,0.0000515628,0.003468712,0.000120048,0.004323487,0.9760875,0.01167637],"study_design_scores_gemma":[0.0001724301,0.00005476523,0.01870253,0.0002863577,0.00003039045,0.0001469253,0.0001345361,0.002287785,0.001265888,0.003675502,0.9731597,0.00008330568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002801424,0.0003023088,0.0008818094,0.0003402886,0.0003555453,0.0000578806,0.9738051,0.001084733,0.02037104],"genre_scores_gemma":[0.01022726,0.0005325895,0.001317133,0.0001342171,0.0001610758,0.0002627969,0.9795117,0.0005841314,0.007269081],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04218893,"threshold_uncertainty_score":0.141136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1601462854003528,"score_gpt":0.4497574761925299,"score_spread":0.2896111907921771,"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."}}