{"id":"W3122432673","doi":"10.2139/ssrn.3144383","title":"Manufacturing (Co)agglomeration in a Transition Country: Evidence from Russia","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Economies of agglomeration; Economic geography; Business; International trade; Transition countries; Transition (genetics); Economics; International economics; Economic growth; Chemistry","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":[0.0003825281,0.0001471023,0.0002956948,0.001163886,0.0008908751,0.00101275,0.0003573954,0.0003302701,0.001960371],"category_scores_gemma":[0.001100897,0.0001293191,0.0003236422,0.00168585,0.0009959978,0.0005293031,0.001486957,0.0003550908,0.0003246308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007835813,"about_ca_system_score_gemma":0.0007492925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05496157,"about_ca_topic_score_gemma":0.07818141,"domain_scores_codex":[0.9996356,0.00009470271,0.00001788636,0.00005459604,0.00004455357,0.0001526476],"domain_scores_gemma":[0.9986618,0.0003568015,0.0005272486,0.00008432204,0.0001803654,0.000189474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005692019,0.0001857885,0.9797763,0.00007642667,0.0001638274,0.00105018,0.005308903,0.0008096223,0.0009870261,0.003046852,0.0005849381,0.00744085],"study_design_scores_gemma":[0.00001238413,0.0001038483,0.9865748,0.00002886043,0.00009349096,0.0001444171,0.01104095,0.0004827347,0.0002885519,0.0002395396,0.0009842478,0.000006011639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990438,0.00006351791,0.00003902633,0.0000366307,0.000001056458,0.000001611276,0.00006551119,0.000001312693,0.0007475686],"genre_scores_gemma":[0.9995742,0.00007176046,0.00002509254,0.000006164846,0.000001904656,0.000001374018,0.0001437228,8.607626e-7,0.0001747489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05496157,"threshold_uncertainty_score":0.1092833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956438073438352,"score_gpt":0.2240119690433347,"score_spread":0.2044475883089512,"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."}}