{"id":"W3120486051","doi":"10.23958/ijssei/vol07-i01/261","title":"The Impact of Covid-19 Pandemic on the Global Trade","year":2021,"lang":"en","type":"article","venue":"International Journal of Social Science and Economics Invention","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Government (linguistics); International trade; Business; Economic impact analysis; Quarter (Canadian coin); Economics; Geography","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":[0.002108043,0.0002446019,0.0002197088,0.003669126,0.0004704209,0.002485068,0.0001565847,0.0003721338,0.00170105],"category_scores_gemma":[0.007121152,0.0001156894,0.0004502409,0.004743254,0.0005573491,0.001021296,0.0008076452,0.0005998779,0.0001577287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001835794,"about_ca_system_score_gemma":0.001106812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0125692,"about_ca_topic_score_gemma":0.01033096,"domain_scores_codex":[0.9985702,0.0006000867,0.00009766222,0.0001335093,0.0004200017,0.0001786237],"domain_scores_gemma":[0.9941954,0.003041963,0.001810495,0.0001735835,0.0006553877,0.000123188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001775727,0.0001518225,0.8664709,0.0002248789,0.0003544073,0.0008916522,0.001605163,0.02485558,0.001085149,0.03366109,0.0038505,0.06667133],"study_design_scores_gemma":[0.000009976839,0.000180142,0.9366974,0.0002172246,0.0002133333,0.0002618443,0.006824441,0.02790918,0.001555178,0.01221688,0.01386121,0.00005342303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725414,0.001161506,0.003016351,0.001233901,0.00004797882,0.0000853777,0.002983474,0.00002116665,0.01890897],"genre_scores_gemma":[0.9959157,0.001025017,0.00123157,0.0001065274,0.00003763504,0.0000332588,0.0008036811,0.000005541141,0.0008410513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0125692,"threshold_uncertainty_score":0.02499205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011470442781767,"score_gpt":0.361887835410468,"score_spread":0.2607407911322913,"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."}}