{"id":"W7161881216","doi":"10.52170/2618-7949_2024_23_24","title":"State policy on the network of rural settlements in the second half of the XIX - first quarter of the XX century (by the example of the Tomsk district of the Tomsk province)","year":2024,"lang":"","type":"article","venue":"Vestnik Sibirskogo gosudarstvennogo universiteta putei soobshcheniya Gumanitarnye issledovaniya","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rural settlement; Human settlement; Quarter (Canadian coin); Settlement (finance); State (computer science); Rural area","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":[0.000404656,0.00009628807,0.0001121433,0.0005504185,0.00261367,0.002492034,0.0003136377,0.0004283401,0.003789244],"category_scores_gemma":[0.0008034651,0.0001378957,0.00009339951,0.0008704218,0.002673016,0.0006858206,0.001585114,0.0005533706,0.0002057167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008133652,"about_ca_system_score_gemma":0.007257087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09671576,"about_ca_topic_score_gemma":0.1838758,"domain_scores_codex":[0.999629,0.000087462,0.00001427203,0.00005363921,0.00005668689,0.0001588354],"domain_scores_gemma":[0.9997945,0.00003707995,0.0000546782,0.00001358531,0.00004493702,0.00005518272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001442238,0.00005112634,0.03734034,0.0001790205,0.00002184359,0.0003931492,0.02086532,0.004496223,0.003027054,0.873983,0.009958127,0.04954072],"study_design_scores_gemma":[0.00007807192,0.0001687325,0.2860602,0.0003418977,0.00004419329,0.0002994207,0.02654626,0.001806247,0.001932686,0.04149814,0.6411882,0.00003600414],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7792966,0.004398627,0.001655553,0.007970302,0.0001577002,0.00006636271,0.0003810899,0.00006128481,0.2060124],"genre_scores_gemma":[0.9792437,0.0007706031,0.0003120636,0.0001514826,0.00001708309,0.0000220978,0.00009021825,0.000004721808,0.0193881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09671576,"threshold_uncertainty_score":0.1923056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01171144038421217,"score_gpt":0.2179538420887684,"score_spread":0.2062424017045563,"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."}}