{"id":"W3167071151","doi":"10.19181/demis.2021.1.2.5","title":"Global Market of Highly Qualified Specialist under Pandemic Conditions","year":2021,"lang":"en","type":"article","venue":"","topic":"Regional Economic Development and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Outsourcing; Developing country; Pandemic; Business; State (computer science); Political science; Economic growth; Coronavirus disease 2019 (COVID-19); Economics; Marketing; Medicine","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":[0.0005891336,0.0001367889,0.0001644117,0.001046924,0.0008376957,0.002615844,0.0003880465,0.001059235,0.02522718],"category_scores_gemma":[0.001193787,0.00006902336,0.0001483027,0.0009745312,0.0007493679,0.001649428,0.001358527,0.0004908775,0.001768969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009437905,"about_ca_system_score_gemma":0.001037742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001627569,"about_ca_topic_score_gemma":0.00176653,"domain_scores_codex":[0.9995678,0.00006868322,0.00001385376,0.00005896206,0.000132803,0.00015784],"domain_scores_gemma":[0.9991599,0.0001484915,0.0001807527,0.00002708728,0.0001388746,0.0003447977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008471087,0.0003576473,0.2144219,0.0008892923,0.00004658398,0.01460823,0.02950481,0.001809417,0.009976836,0.2235152,0.1718361,0.3321869],"study_design_scores_gemma":[0.00004845179,0.0004244421,0.2389426,0.0004462701,0.00002724811,0.007809305,0.0592741,0.002117909,0.001525815,0.02222269,0.6670865,0.00007457261],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6713345,0.007364297,0.001122119,0.02161927,0.0004776857,0.0000448229,0.0006253113,0.00008817852,0.2973238],"genre_scores_gemma":[0.9573469,0.002800765,0.0002877516,0.001673777,0.0002998088,0.00001209433,0.0002850311,0.00002276154,0.03727122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02522718,"threshold_uncertainty_score":0.08439338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03579067841746699,"score_gpt":0.2585981460752784,"score_spread":0.2228074676578114,"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."}}