{"id":"W4292481346","doi":"10.15196/rs120107","title":"Has COVID-19 caused a change in the dynamics of the unemployment rate? The case of North America and continental Europe","year":2022,"lang":"en","type":"article","venue":"Regional Statistics","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Unemployment; Dynamics (music); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Geography; Economic geography; Economics; Sociology; Economic growth; Virology; Medicine; Outbreak","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":[0.001610225,0.0001655985,0.0005262749,0.0006119547,0.0007907678,0.001899042,0.0003751671,0.001041162,0.001845685],"category_scores_gemma":[0.005172347,0.0001499882,0.0005343568,0.0008355149,0.001001791,0.00102364,0.001144837,0.001077385,0.0001539944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543785,"about_ca_system_score_gemma":0.001062304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1099308,"about_ca_topic_score_gemma":0.08640473,"domain_scores_codex":[0.9990565,0.0002550348,0.0000343408,0.0002007373,0.0001063738,0.0003470648],"domain_scores_gemma":[0.9981092,0.0004439288,0.0006652899,0.0001586969,0.0003098074,0.0003131019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007517469,0.0001257009,0.8985302,0.000206829,0.0005600255,0.002368862,0.004140453,0.017366,0.002156898,0.02897712,0.00438507,0.04043103],"study_design_scores_gemma":[0.00002209468,0.0001075558,0.9715712,0.0001215465,0.000106935,0.0002127074,0.006125177,0.007986363,0.0004444413,0.003515875,0.009745448,0.00004069811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836364,0.001423259,0.0004719239,0.003743142,0.00006429189,0.00001117967,0.0003035699,0.000009730145,0.01033646],"genre_scores_gemma":[0.9990651,0.0002855244,0.00007179728,0.0001635569,0.00002626767,0.000002794152,0.0001152925,0.000003005471,0.0002667005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1099308,"threshold_uncertainty_score":0.2185819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102993519547242,"score_gpt":0.2886593591734889,"score_spread":0.1856658396262469,"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."}}