{"id":"W4399307467","doi":"10.33693/2541-8025-2024-20-2-202-210","title":"Econometric Analysis of the Labor Market in the North Caucasus Region","year":2024,"lang":"en","type":"article","venue":"Economic problems and legal practice","topic":"Economic Development and Digital Transformation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Unemployment; Economics; Index (typography); Econometric model; Productivity; Depreciation (economics); Labour economics; Explanatory power; Russian federation; Goods and services; Econometric analysis; Demographic economics; Economy; Human capital; Macroeconomics; Economic growth; Econometrics; Economic policy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001313052,0.0001395407,0.0003301807,0.0006564225,0.00007736167,0.0003683532,0.0002705476,0.00006140914,0.0001616797],"category_scores_gemma":[0.00009726448,0.0001077135,0.0001464004,0.0009648231,0.00006101797,0.001858769,0.00004508975,0.0002116264,0.00008580524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001356169,"about_ca_system_score_gemma":0.00005319307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001019555,"about_ca_topic_score_gemma":0.001164396,"domain_scores_codex":[0.9985927,0.00003998811,0.0008132759,0.0003345867,0.00002341931,0.0001960643],"domain_scores_gemma":[0.9989198,0.0004308047,0.0003268714,0.0002779718,0.00001177623,0.00003276967],"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":[0.00006402553,0.0001459714,0.2229724,0.0002441753,0.001428056,0.00001455127,0.005458046,0.003228261,4.997294e-7,0.754318,0.005744103,0.006381908],"study_design_scores_gemma":[0.0002930267,0.0000317701,0.3016613,0.00002058041,0.0001222417,0.00002970557,0.0003357809,0.02482391,0.000001631591,0.003708371,0.6687471,0.0002245904],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6540045,0.004242857,0.0001003221,0.007537492,0.000554407,0.0004131198,0.0001559822,0.00001966922,0.3329717],"genre_scores_gemma":[0.9962929,0.001027102,0.00005086559,0.0005016577,0.00004372349,0.00003406145,0.00001599595,0.00001157964,0.002022048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7506096,"threshold_uncertainty_score":0.4392427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02583428505501047,"score_gpt":0.2162743904173219,"score_spread":0.1904401053623114,"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."}}