{"id":"W4405537332","doi":"10.36871/ek.up.p.r.2024.12.02.007","title":"SOME FEATURES OF THE ORGANIZATION OF THE PROCESSES OF THE POPULATION AND GOVERNMENT BASED ON THE STUDY OF THE EXPERIENCE OF A NUMBER OF ARCTIC STATES","year":2024,"lang":"en","type":"article","venue":"EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Arctic; Population; The arctic; Geography; Business; Public relations; Political science; Environmental planning; Sociology; Demography; Oceanography; Geology; Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005513917,0.000138856,0.0002682071,0.00002074677,0.0003688185,0.00001644309,0.0006402629,0.00005440813,0.0000205849],"category_scores_gemma":[0.0009356215,0.00005462082,0.00009732621,0.0008017609,0.00107745,0.0001012663,0.0003042699,0.0001407641,1.408193e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007230109,"about_ca_system_score_gemma":0.0002520847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004448071,"about_ca_topic_score_gemma":0.001493777,"domain_scores_codex":[0.9979348,0.0004248352,0.0005187605,0.000191951,0.0007789566,0.0001507162],"domain_scores_gemma":[0.998037,0.0005751725,0.0007423903,0.0004424983,0.0001853694,0.00001761159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006966027,0.0003423031,0.8216984,0.0007548479,0.0001409667,4.313395e-8,0.1494559,0.0006190318,0.0008576785,0.0255004,0.0003499496,0.0002107897],"study_design_scores_gemma":[0.0003975699,0.0001228385,0.904,0.0008169565,0.0001794129,6.031698e-7,0.06306697,0.00009539334,0.02507658,0.005942325,0.0001913881,0.0001099017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990935,0.0002782416,0.000003625262,0.006605731,0.0001465564,0.001236622,0.00004589555,0.000006194008,0.0007421482],"genre_scores_gemma":[0.9994236,0.00009986369,0.00002266958,0.00005980266,0.00003396042,0.00003104618,3.582104e-7,0.00001315457,0.0003155511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08638895,"threshold_uncertainty_score":0.6724182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316350804681501,"score_gpt":0.2798296887369844,"score_spread":0.2666661806901694,"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."}}