{"id":"W74383518","doi":"","title":"Metropolisation in Warsaw: Economic Change and Urban Growth *","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Position (finance); Order (exchange); Attractiveness; Regional science; Economic geography; Business; Investment (military); Economy; Geography; Economics; Political science; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007001215,0.0000865072,0.0002577773,0.001250449,0.0001420465,0.0001153993,0.0003196172,0.0000412936,0.0002612041],"category_scores_gemma":[0.00007550527,0.00009340033,0.00007690908,0.0003509831,0.0004009283,0.0007551194,0.00001322449,0.0001086366,0.00006323401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005906534,"about_ca_system_score_gemma":0.0001525144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03666816,"about_ca_topic_score_gemma":0.02781941,"domain_scores_codex":[0.998993,0.000007765025,0.0004619354,0.0002174624,0.00004259193,0.0002772739],"domain_scores_gemma":[0.9990246,0.00002540927,0.0003527211,0.00009748197,0.00005207648,0.0004477297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000002630307,0.0000100063,0.3844342,0.000003640789,0.00001421597,0.00001988759,0.0009023044,0.000074719,0.000004726685,0.6113434,0.002091721,0.001098604],"study_design_scores_gemma":[0.001078945,0.0002304784,0.6900147,0.00005932184,0.00001361645,0.0002507436,0.0003537352,0.04624027,0.00002372029,0.1362934,0.1247945,0.0006465354],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708495,0.00527893,0.00009407133,0.01744001,0.0003626512,0.00007469406,0.0000245786,0.000001927508,0.005873648],"genre_scores_gemma":[0.9981223,0.0008093694,0.000196317,0.0005481171,0.0002045013,0.000001919123,7.025989e-7,0.00000597025,0.0001107748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.47505,"threshold_uncertainty_score":0.9899204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08080576542131417,"score_gpt":0.2023441807801769,"score_spread":0.1215384153588628,"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."}}