{"id":"W4390564835","doi":"10.54254/2754-1169/57/20230769","title":"The Influence of Gender Disparities on the Unemployment Rate in the United States amid the Covid-19 Pandemic","year":2024,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Pandemic; Coronavirus disease 2019 (COVID-19); Demographic economics; Economics; Quarter (Canadian coin); Autoregressive integrated moving average; Demography; Economic growth; Geography; Medicine; Sociology; Time series; Statistics","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":[0.00124099,0.0002014128,0.0002986339,0.0003449722,0.0006458539,0.0009164473,0.0003113526,0.0005558247,0.001611324],"category_scores_gemma":[0.004716162,0.0001212672,0.0005367474,0.000344808,0.0003236129,0.0004144858,0.000804102,0.0007202434,0.0002032498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008538553,"about_ca_system_score_gemma":0.0008873211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07948131,"about_ca_topic_score_gemma":0.09604161,"domain_scores_codex":[0.9994422,0.000216362,0.00002332964,0.00008066726,0.00005007646,0.00018737],"domain_scores_gemma":[0.9985391,0.0005470543,0.0003789117,0.00006617435,0.0001725097,0.0002963636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002134133,0.00005474245,0.9877532,0.00001617594,0.00005391673,0.0001691659,0.000830331,0.001962218,0.0001461001,0.001001097,0.001218548,0.006581006],"study_design_scores_gemma":[0.000004409799,0.00008806326,0.9873263,0.00005596291,0.00003950666,0.00006183586,0.002678713,0.007893782,0.0001226329,0.000614045,0.001100433,0.00001427945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962562,0.0003458094,0.0001822821,0.0009189156,0.00004710282,0.000005533523,0.0003725893,0.000003691028,0.001867806],"genre_scores_gemma":[0.9994112,0.0001030604,0.00004260865,0.00007350987,0.00001352627,0.000003141074,0.0001666472,0.000001795577,0.0001845884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07948131,"threshold_uncertainty_score":0.1580374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0733062968667459,"score_gpt":0.3240155080454561,"score_spread":0.2507092111787102,"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."}}