{"id":"W4292596992","doi":"10.18509/gbp22265e","title":"DYNAMICS OF THE SPATIAL STRUCTURE OF SUBURBAN SETTLEMENT SYSTEMS IN MODERN RUSSIA","year":2022,"lang":"en","type":"article","venue":"","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lomonosov Moscow State University; Russian Science Foundation","keywords":"Geography; Population; Rural settlement; Census; Rural area; Economic geography; Socioeconomic status; Settlement (finance); Quarter (Canadian coin); Economic growth; Socioeconomics; Regional science; Demography; Political science; Business; Economics; Sociology; Archaeology","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":[0.0002142785,0.00007663951,0.0001897833,0.001712135,0.0006190502,0.00110914,0.0003444763,0.000119303,0.00187516],"category_scores_gemma":[0.0009324725,0.0001405574,0.0001383988,0.001831733,0.0009179928,0.0004171145,0.001340107,0.0001374074,0.0002302816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000936439,"about_ca_system_score_gemma":0.0005683064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01504035,"about_ca_topic_score_gemma":0.01779434,"domain_scores_codex":[0.9996634,0.0001033966,0.00001965407,0.00008440717,0.00004182437,0.00008735347],"domain_scores_gemma":[0.9996008,0.00006108781,0.0001784775,0.00003506192,0.00006687585,0.0000577345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002332224,0.00005527608,0.9151171,0.00009423353,0.0000788035,0.0006256562,0.01802773,0.00441592,0.002744728,0.02267057,0.001219064,0.03471764],"study_design_scores_gemma":[0.000005488973,0.00002796719,0.9845939,0.00001799233,0.00001225521,0.0002828825,0.007107114,0.002087522,0.0001477102,0.001770027,0.003936841,0.00001022552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966944,0.0001925496,0.0003778617,0.00006132625,0.000002388359,0.000006765606,0.0001707961,0.00001229364,0.002481598],"genre_scores_gemma":[0.999377,0.00008858903,0.0001298747,0.000001682091,0.000001703546,0.000003967253,0.00008667298,0.000001717658,0.0003088681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01504035,"threshold_uncertainty_score":0.02990556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0120312033410385,"score_gpt":0.2443981298857574,"score_spread":0.2323669265447189,"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."}}