{"id":"W4286284509","doi":"10.36713/epra10454","title":"PROJECTION OF COVID 19: PEOPLE, ECONOMY &amp; ENVIRONMENT","year":2022,"lang":"en","type":"article","venue":"EPRA International Journal of Economics Business and Management Studies","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seriousness; Coronavirus disease 2019 (COVID-19); Economy; Recession; Pandemic; Quarter (Canadian coin); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Economics; Civilization; Business; Political science; Geography; Keynesian economics; Virology; Medicine; Law; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001140054,0.0001325092,0.0004232954,0.0006309353,0.0001415807,0.00004355451,0.0003100491,0.00002020071,0.0003361314],"category_scores_gemma":[0.0001564688,0.0001525599,0.00009817132,0.0001011802,0.00008252243,0.0003355455,0.0005568523,0.0001031505,0.00001120275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007152433,"about_ca_system_score_gemma":0.00004299157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001133,"about_ca_topic_score_gemma":0.00003492885,"domain_scores_codex":[0.9986811,0.00002078295,0.0008878637,0.0002293157,0.00004771157,0.0001331945],"domain_scores_gemma":[0.9982569,0.00009653984,0.001369232,0.0001387171,0.00007562325,0.00006293935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006446201,0.0007434623,0.1609979,0.0006603335,0.006443311,0.00004042378,0.005833438,0.128484,0.00000960184,0.6697142,0.0164625,0.009966158],"study_design_scores_gemma":[0.001463488,0.00007417551,0.02811485,0.00001749571,0.00004722262,0.00006882146,0.001727956,0.0004329167,0.000004131556,0.06079362,0.9070207,0.0002345643],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.903253,0.01111889,0.02538449,0.03990785,0.005021775,0.0008520238,0.0002949138,0.00002361399,0.0141435],"genre_scores_gemma":[0.9663048,0.03002178,0.001066241,0.001433844,0.0001788469,0.00004652486,0.00001484644,0.00001873396,0.0009144198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8905582,"threshold_uncertainty_score":0.6221212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06947035698520392,"score_gpt":0.2837980178086112,"score_spread":0.2143276608234073,"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."}}