{"id":"W4226071083","doi":"10.37614/2220-802x.1.2022.75.006","title":"Impact of the COVID-19 pandemic on labor markets of Arctic territories of circumpolar countries.","year":2022,"lang":"en","type":"article","venue":"СЕВЕР И РЫНОК формирование экономического порядка","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Russian Academy of Sciences","keywords":"Circumpolar star; Pandemic; Unemployment; Government (linguistics); Arctic; Business; Economic growth; Economics; Development economics; Coronavirus disease 2019 (COVID-19); Geography","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":[0.0007057458,0.0002140369,0.0001631208,0.0007770116,0.001085703,0.001351211,0.0002586983,0.0002685069,0.003576491],"category_scores_gemma":[0.001288654,0.0000754771,0.0002443637,0.0008624332,0.000694831,0.000681237,0.001321272,0.0003742558,0.0002026105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528319,"about_ca_system_score_gemma":0.001652188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04748398,"about_ca_topic_score_gemma":0.09204184,"domain_scores_codex":[0.9995906,0.0001442615,0.00001360956,0.00002811438,0.00006043587,0.000163077],"domain_scores_gemma":[0.9992281,0.0001418641,0.0002639626,0.00002218962,0.0001317662,0.0002120803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002747396,0.0001808368,0.9273406,0.000192822,0.00008581085,0.001384131,0.01132879,0.001508976,0.001511636,0.006874628,0.001477527,0.04783937],"study_design_scores_gemma":[0.000001815936,0.00007142648,0.969442,0.00006886471,0.00001540324,0.0001023294,0.02468615,0.0005306346,0.0002043313,0.000479906,0.004389416,0.000007654474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895906,0.001051836,0.00009099075,0.0006201721,0.00001981077,0.00001951877,0.0003236151,0.000001156128,0.008282239],"genre_scores_gemma":[0.9981071,0.0007140328,0.00007504218,0.00007135836,0.000009159016,0.000008724672,0.000124221,0.000001103162,0.0008893125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04748398,"threshold_uncertainty_score":0.09441519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03494221467228599,"score_gpt":0.3567501968940388,"score_spread":0.3218079822217528,"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."}}