{"id":"W4315487667","doi":"10.16980/jitc.18.6.202212.175","title":"A Study on the Impact of COVID-19 on Korea’s Exports in the Pharmaceutical Industry: Comparison between OECD and Non-OECD Countries","year":2022,"lang":"en","type":"article","venue":"Korea International Trade Research Institute","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Estimation; Quarter (Canadian coin); Pandemic; Linkage (software); Economics; Pharmaceutical industry; Panel data; 2019-20 coronavirus outbreak; International economics; International trade; Econometrics; Geography; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00635029,0.0001917553,0.0003811577,0.0007474457,0.0003965917,0.0001433705,0.001040249,0.00009889212,0.0005691908],"category_scores_gemma":[0.001247171,0.0001395667,0.0001023289,0.0003711162,0.0004524791,0.0001983134,0.0003009894,0.001977277,0.00004084721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00132665,"about_ca_system_score_gemma":0.0004809622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00350957,"about_ca_topic_score_gemma":0.00008948734,"domain_scores_codex":[0.9974603,0.0003150968,0.0006773359,0.0004494096,0.0006504938,0.00044736],"domain_scores_gemma":[0.9970263,0.002106491,0.0002309663,0.0004224705,0.00002073639,0.0001930019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003115823,0.0009154974,0.9200727,0.0000159409,0.0002295881,0.00009648985,0.009367025,0.003231141,0.000008496684,0.05511775,0.01032429,0.0003095002],"study_design_scores_gemma":[0.002340031,0.001248533,0.8967289,0.00002056516,0.000008673741,0.00002505419,0.003663178,0.001791919,0.00005144367,0.005714626,0.08818246,0.0002245985],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637362,0.00009024134,0.00002602414,0.02659107,0.0002037017,0.001114007,0.0008226089,0.00001325171,0.007402851],"genre_scores_gemma":[0.9984667,0.00005383079,0.000004026061,0.0009810544,0.0001676161,0.0002123087,0.00005279191,0.00001648021,0.00004524878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07785816,"threshold_uncertainty_score":0.8590394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3770060550987769,"score_gpt":0.4833074823336498,"score_spread":0.1063014272348729,"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."}}