{"id":"W3150901348","doi":"10.1088/1755-1315/716/1/012077","title":"Trade balance during the Covid-19 pandemic","year":2021,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Balance of trade; Balance of payments; Context (archaeology); Commodity; Economics; Balance (ability); Business; Quarter (Canadian coin); International economics; Boom; Oil boom; Government (linguistics); International trade; Economic policy; Market economy; Macroeconomics; 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":[0.0004811195,0.0001452099,0.0002080772,0.0007645011,0.0004991412,0.002233523,0.0001521972,0.0006251422,0.007100266],"category_scores_gemma":[0.00179531,0.0001040163,0.0002001987,0.001085906,0.0004065477,0.001497047,0.0006268125,0.001049965,0.0006407938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002370315,"about_ca_system_score_gemma":0.0006290493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02008422,"about_ca_topic_score_gemma":0.01157516,"domain_scores_codex":[0.9997849,0.00004086098,0.00001643098,0.00002464748,0.0000504986,0.00008259972],"domain_scores_gemma":[0.9993731,0.0001412711,0.0002436771,0.00001783161,0.0001377582,0.00008646114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001887457,0.0003791683,0.6735197,0.0004436403,0.0002177497,0.007284102,0.003283811,0.05081627,0.002954012,0.09127013,0.06883552,0.09910854],"study_design_scores_gemma":[0.00005090791,0.0002794768,0.8037121,0.0005183061,0.00007857486,0.001720882,0.01571191,0.04452813,0.001931945,0.04561614,0.08574859,0.0001030773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9043522,0.002737132,0.0009400345,0.009248602,0.0002684625,0.00002708509,0.005562866,0.00003801302,0.07682551],"genre_scores_gemma":[0.9945483,0.0005925409,0.00008295444,0.000255079,0.00005479525,0.000007381157,0.0009800786,0.000009385257,0.003469492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02008422,"threshold_uncertainty_score":0.03993464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0413769847496876,"score_gpt":0.2301471738765075,"score_spread":0.1887701891268199,"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."}}