{"id":"W2771146423","doi":"","title":"Trade Flows Impact of European Union Expansion","year":2017,"lang":"en","type":"article","venue":"International Business Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gravity model of trade; Czech; European union; Free trade; International economics; International trade; Economics; Liberalization; Population; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001057137,0.000253082,0.0001799314,0.001482211,0.0004874866,0.003237971,0.0001872546,0.0006541406,0.007215077],"category_scores_gemma":[0.003998745,0.0001061572,0.0004739164,0.002030931,0.0005213626,0.001285636,0.001172096,0.0006442023,0.0004481387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001467404,"about_ca_system_score_gemma":0.0006258762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006031175,"about_ca_topic_score_gemma":0.004701292,"domain_scores_codex":[0.9994517,0.0001746815,0.00004578651,0.00008002607,0.0001013353,0.0001464151],"domain_scores_gemma":[0.998511,0.0005350799,0.0005152499,0.0000931279,0.0002061726,0.000139278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001368121,0.0003781056,0.685293,0.000279569,0.000326518,0.00252687,0.001973286,0.0647379,0.002594182,0.1057389,0.007704411,0.1270792],"study_design_scores_gemma":[0.00004492221,0.0002084314,0.923851,0.0002324375,0.0001362148,0.0006465462,0.003763847,0.01254318,0.00220263,0.01276621,0.04356045,0.00004409588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.930613,0.0008552494,0.000335981,0.0006508153,0.00004952289,0.0000114503,0.0006021845,0.00003414742,0.06684767],"genre_scores_gemma":[0.9956814,0.0003563985,0.0001173244,0.00008413954,0.00003005557,0.000005978943,0.0004386135,0.00000858134,0.003277496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007215077,"threshold_uncertainty_score":0.02413684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2026978104198836,"score_gpt":0.3607970276387505,"score_spread":0.1580992172188669,"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."}}