{"id":"W4408174456","doi":"10.1016/j.jum.2025.02.009","title":"Synergizing urban and mobility governance: Insights from Dubai and Lahore","year":2025,"lang":"en","type":"article","venue":"Journal of Urban Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Corporate governance; Geography; Business; Traditional medicine; Medicine; Finance","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":[0.001811302,0.0004391215,0.0003546375,0.001636485,0.00895457,0.005333298,0.001127454,0.001120386,0.002615694],"category_scores_gemma":[0.001744342,0.0004766331,0.0002749085,0.002377137,0.01094477,0.003565328,0.006391242,0.001831948,0.0002421149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01333996,"about_ca_system_score_gemma":0.009057306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1340481,"about_ca_topic_score_gemma":0.3296803,"domain_scores_codex":[0.9978994,0.001131616,0.00004567879,0.0001499728,0.0001282199,0.0006450862],"domain_scores_gemma":[0.9983509,0.0007939712,0.000220192,0.00007610466,0.0001605706,0.0003983232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002323126,0.00009430257,0.01761629,0.0001972073,0.00001637232,0.003724377,0.948375,0.0003898705,0.0006815557,0.01862643,0.001987766,0.008267554],"study_design_scores_gemma":[0.000003785831,0.0000206207,0.0124904,0.0001554127,0.00000672095,0.0002118006,0.9596725,0.0001470342,0.0001020115,0.001070121,0.02610587,0.00001364349],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503041,0.001398529,0.0007695469,0.007828427,0.00002752759,0.0001128143,0.0001443295,0.00001528404,0.03939945],"genre_scores_gemma":[0.9953079,0.0009465179,0.0004289635,0.0006225258,0.000007215295,0.00005460727,0.00007012507,0.00001152376,0.002550647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1340481,"threshold_uncertainty_score":0.2665357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00827965264749045,"score_gpt":0.259263671534019,"score_spread":0.2509840188865285,"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."}}