{"id":"W3147392753","doi":"10.51823/74670_2021_1_74","title":"LABOR MARKET IN THE ARCTIC ZONE OF THE RUSSIAN FEDERATION","year":2021,"lang":"ru","type":"article","venue":"Арктика 2035: актуальные вопросы, проблемы, решения","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"","keywords":"Russian federation; Arctic; The arctic; Business; Economic geography; Geography; Political science; Geology; Regional science; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007567749,0.0001535109,0.0003817067,0.001157405,0.002876279,0.002392051,0.0004884953,0.0008058106,0.00167768],"category_scores_gemma":[0.0006268687,0.0002251742,0.0003559486,0.001442538,0.00125915,0.0006803111,0.001071609,0.0006815406,0.000213439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005167332,"about_ca_system_score_gemma":0.008803865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3506157,"about_ca_topic_score_gemma":0.3998793,"domain_scores_codex":[0.9994375,0.0001005788,0.0000196436,0.00004443528,0.00004378786,0.0003539277],"domain_scores_gemma":[0.9996717,0.00005462129,0.00008376179,0.00001101933,0.00005230703,0.0001266183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001159332,0.0005399571,0.7732749,0.0002670049,0.0002375221,0.002275936,0.04111617,0.00320396,0.003762501,0.1368595,0.006577159,0.03072613],"study_design_scores_gemma":[0.00002086373,0.0001022735,0.9562473,0.0001048798,0.00005462559,0.0001454864,0.02344024,0.001283779,0.0003593508,0.002031257,0.01618498,0.00002481612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913884,0.001137658,0.00004239045,0.0008751068,0.00002415222,0.000003839299,0.0001431554,0.000002322977,0.006383038],"genre_scores_gemma":[0.997736,0.0004426189,0.00002459167,0.00005894332,0.00001252912,0.000003701488,0.00006701446,0.000001298492,0.001653399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3506157,"threshold_uncertainty_score":0.6971498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911422583508142,"score_gpt":0.2931523086041002,"score_spread":0.2740380827690188,"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."}}