{"id":"W4399870474","doi":"10.54097/hbem.v20i.12318","title":"The Impact of COVID-19 Pandemic on Gold Price: From Ultra-Short-, Short- and Medium-Term Perspectives Respectively","year":2023,"lang":"en","type":"article","venue":"Highlights in Business Economics and Management","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Term (time); 2019-20 coronavirus outbreak; Medium term; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Gold standard (test); Virology; Medicine; Economics; Physics; Outbreak; Internal medicine; Infectious disease (medical specialty); Macroeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008394939,0.0002170406,0.0001793818,0.0009864132,0.0001721182,0.001143815,0.0002792248,0.000439141,0.0009785459],"category_scores_gemma":[0.00258201,0.00009797581,0.0005058397,0.0008369659,0.000271198,0.001054206,0.0006786773,0.0006816874,0.000217703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006431405,"about_ca_system_score_gemma":0.0003884287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01401792,"about_ca_topic_score_gemma":0.01675626,"domain_scores_codex":[0.9996642,0.00005663673,0.00002816701,0.00007396106,0.000104557,0.00007258941],"domain_scores_gemma":[0.9988305,0.0003965685,0.0002735693,0.00008182976,0.0003165615,0.0001008575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002415051,0.0001489123,0.9434784,0.0001089611,0.0002322066,0.0008150602,0.0002710446,0.01943769,0.002051756,0.002300335,0.003473861,0.02744025],"study_design_scores_gemma":[0.000006677595,0.0001909021,0.9119062,0.00006051394,0.0001035598,0.0002218669,0.001155843,0.07805338,0.001930448,0.001728833,0.004594036,0.00004774837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930894,0.0007361998,0.0009453318,0.0008017867,0.00004827383,0.00001030884,0.001609673,0.00001951615,0.002739559],"genre_scores_gemma":[0.9967567,0.000294397,0.0005237627,0.00004894288,0.0000489342,0.000004438607,0.00174828,0.000005291207,0.0005692536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01401792,"threshold_uncertainty_score":0.02787262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05853016498804886,"score_gpt":0.3269476624886988,"score_spread":0.26841749750065,"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."}}