{"id":"W4200260958","doi":"10.21686/2073-1051-2021-4-5-19","title":"Impact of the Coronavirus Pandemic on Labor Market","year":2021,"lang":"en","type":"article","venue":"Federalism","topic":"Impulse Buying and Technology Impacts","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Context (archaeology); Pandemic; Coronavirus disease 2019 (COVID-19); Residence; Economics; Demographic economics; Unemployment rate; Russian federation; Labour economics; Economic growth; Geography; Medicine; Economic policy","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":[0.0008619078,0.0001944618,0.0002528838,0.001000303,0.00042483,0.0008536039,0.0001951102,0.0003125616,0.002201946],"category_scores_gemma":[0.002613131,0.00007173818,0.0005483577,0.0009831365,0.0003128421,0.000556276,0.0007192786,0.0003937572,0.00030422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008791185,"about_ca_system_score_gemma":0.0009712962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01043446,"about_ca_topic_score_gemma":0.008648138,"domain_scores_codex":[0.9991764,0.000226352,0.0000588751,0.0001146872,0.0001984096,0.0002252701],"domain_scores_gemma":[0.9992141,0.0001437432,0.0002513569,0.00004045421,0.0002305534,0.0001197619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003847172,0.0000763134,0.9339342,0.0001412127,0.000194545,0.0004552962,0.0009312095,0.002587313,0.0009913305,0.005092748,0.003591447,0.05161971],"study_design_scores_gemma":[0.00000322699,0.0001163276,0.990117,0.00004288574,0.00003783859,0.000129297,0.001429,0.001628852,0.0002125391,0.000633059,0.005641113,0.000008870167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839267,0.002492105,0.0006472316,0.001401645,0.0001416261,0.00002498731,0.001944259,0.00001728755,0.009404231],"genre_scores_gemma":[0.9967247,0.001006625,0.0001579673,0.000108452,0.00007689877,0.000009736942,0.0008368416,0.000006000565,0.001072881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01043446,"threshold_uncertainty_score":0.02074742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05643527058958137,"score_gpt":0.2838877501719942,"score_spread":0.2274524795824129,"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."}}