{"id":"W3198051986","doi":"10.2478/mape-2021-0036","title":"Statistical and Econometric Analysis of Selected Effects of COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Multidisciplinary Aspects of Production Engineering","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gross domestic product; Pandemic; Quarter (Canadian coin); Unemployment; Statistic; Coronavirus disease 2019 (COVID-19); Economics; Econometrics; Statistics; Demographic economics; Geography; Economic growth; Mathematics","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":[0.0005315181,0.0001699504,0.0008289291,0.001592926,0.00003978788,0.000008330554,0.000106846,0.00009452792,0.00008073702],"category_scores_gemma":[0.006564069,0.0002115664,0.0001105908,0.003320454,0.00008204364,0.0001742328,0.0001127812,0.0001460772,0.000002264134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002033177,"about_ca_system_score_gemma":0.0001232592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001093654,"about_ca_topic_score_gemma":0.00001897581,"domain_scores_codex":[0.9983651,0.00002723195,0.0008138898,0.0005039766,0.00006403196,0.0002257684],"domain_scores_gemma":[0.9983015,0.0006032413,0.0004516977,0.0003808067,0.0001118078,0.0001509543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006207947,0.0003809326,0.6310791,0.003372311,0.00178055,0.00002006979,0.002046586,0.2994511,0.03161258,0.02964785,0.00002891674,0.0005178948],"study_design_scores_gemma":[0.0009613371,0.0001737721,0.8983412,0.00005415505,0.000369586,0.00002403882,0.0001168036,0.07855938,0.01848361,0.002414443,0.000142151,0.0003594666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9444537,0.003318157,0.05123603,0.000156326,0.0003211258,0.0002190468,0.0001333708,0.00004744511,0.0001147915],"genre_scores_gemma":[0.996411,0.0003540505,0.003060248,0.000006056046,0.00004537301,0.000009570687,0.0000445125,0.00002090285,0.00004824435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2672621,"threshold_uncertainty_score":0.8627428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02855396030107328,"score_gpt":0.2720983245838119,"score_spread":0.2435443642827387,"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."}}