{"id":"W2936382181","doi":"10.4995/isuf2017.2017.6065","title":"Development of urban areas of the Russian Federation on the Trans-Siberian Railway: town-planning a railroad role in the city of Krasnoyarsk.","year":2017,"lang":"en","type":"article","venue":"Proceedings 24th ISUF 2017 - City and Territory in the Globalization Age","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human settlement; Quarter (Canadian coin); Tourism; World War II; Urban planning; Geography; Economy; Archaeology; Civil engineering; Engineering","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002452374,0.0001446548,0.0002159466,0.00005856374,0.001328524,0.0002210025,0.001024622,0.0001183903,0.00002241854],"category_scores_gemma":[0.0002334223,0.00008187155,0.00006168497,0.0001523404,0.0006000868,0.0003167285,0.00006471072,0.0001595851,4.534354e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001134775,"about_ca_system_score_gemma":0.0001645453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009590531,"about_ca_topic_score_gemma":0.001868094,"domain_scores_codex":[0.9985164,0.0001414936,0.0004518559,0.0002047305,0.0004798143,0.0002056901],"domain_scores_gemma":[0.9989961,0.000096248,0.0006287643,0.0001960932,0.00005179986,0.00003103485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006813536,0.0002016276,0.5093865,0.00005691321,0.00004504345,0.000001062091,0.3764608,0.000009241249,0.0002456459,0.1101847,0.001510352,0.001830025],"study_design_scores_gemma":[0.0004616602,0.00002063352,0.9543988,0.000259458,0.00001571016,0.000001530147,0.02009555,0.00005726102,0.0004918475,0.005372044,0.01868616,0.0001393293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9302859,0.00004102308,0.00003197279,0.00572508,0.0001469883,0.0005017315,0.000009125707,0.000008685573,0.06324954],"genre_scores_gemma":[0.9993527,0.00002833206,0.0000794416,0.0002389149,0.00007444357,0.00003684025,0.000005696467,0.000005111536,0.0001785469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4450124,"threshold_uncertainty_score":0.9999716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05438894754099897,"score_gpt":0.3039857344604536,"score_spread":0.2495967869194546,"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."}}