{"id":"W2623335667","doi":"10.1080/02665433.2017.1310629","title":"Transnational mobilities: Western European architects and planners in the Soviet industrial cities, 1928–1933","year":2017,"lang":"en","type":"article","venue":"Planning Perspectives","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"German; Architecture; Mobilities; Industrial city; Plan (archaeology); State (computer science); Western europe; Political science; Economic geography; Economy; Engineering; Civil engineering; Sociology; Business; Industrial zone; Geography; Social science; International trade; Economics; Computer science; Archaeology; European union","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":[0.002594966,0.000384802,0.0001974793,0.001390343,0.00987481,0.00401395,0.0003469247,0.0007039601,0.004333611],"category_scores_gemma":[0.001372177,0.0004099616,0.0001403577,0.00221126,0.006938411,0.002075591,0.005169948,0.001558467,0.0002931645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006366113,"about_ca_system_score_gemma":0.003647361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07496683,"about_ca_topic_score_gemma":0.1520363,"domain_scores_codex":[0.9989466,0.0003993705,0.00003714367,0.0001039592,0.00009320746,0.0004196528],"domain_scores_gemma":[0.9995065,0.0001624632,0.00008489255,0.00004156505,0.00007040182,0.0001342877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001160599,0.0001039669,0.03801025,0.00004571304,0.00001710811,0.001038339,0.7606583,0.0007016904,0.0004191555,0.1455423,0.01191594,0.04143116],"study_design_scores_gemma":[0.00002920537,0.00007652838,0.0385286,0.0001250575,0.00002070975,0.0003094208,0.6314295,0.0004493737,0.0003728965,0.004472238,0.3241546,0.00003178386],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8860859,0.001049254,0.0004010506,0.003303954,0.00008175922,0.00001803667,0.00003817093,0.00001691561,0.109005],"genre_scores_gemma":[0.9883323,0.0003917165,0.0001265645,0.0002083764,0.00001436815,0.00001223748,0.00002451679,0.000009387717,0.01088055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07496683,"threshold_uncertainty_score":0.149061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09473274064762258,"score_gpt":0.3408197227597179,"score_spread":0.2460869821120954,"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."}}