{"id":"W2324477517","doi":"10.5509/2013864813","title":"What Has Urban Decentralization Meant? a Case Study of Delhi","year":2013,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Decentralization; New delhi; Political science; Geography; Archaeology; Law","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":[0.0002569286,0.0001071283,0.0001545557,0.00007438534,0.0003891286,0.0001979392,0.0001391888,0.00007140797,0.0006297355],"category_scores_gemma":[0.00004679763,0.00009140584,0.00003772782,0.0002691337,0.0001791513,0.0006687827,0.00003001792,0.00006074973,0.0001067746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005949962,"about_ca_system_score_gemma":0.00007798839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00296337,"about_ca_topic_score_gemma":0.005875464,"domain_scores_codex":[0.9987636,0.0001732926,0.0002322231,0.0002016583,0.0003525179,0.0002767315],"domain_scores_gemma":[0.9994079,0.00006436255,0.00009851182,0.0001540471,0.0001418469,0.0001333149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000008481195,0.0006566503,0.0144128,0.00002262347,0.00008172658,0.0001578773,0.949542,0.000006848373,0.00005273972,0.003231942,0.02101821,0.01080803],"study_design_scores_gemma":[0.0002642099,0.00006068387,0.0005483184,0.00002281311,0.00001438407,0.000009344256,0.9948243,0.00003404242,0.00003323852,0.0002315537,0.003829194,0.0001278589],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8396003,0.001381677,0.00008442816,0.002069858,0.00170641,0.001601707,0.000001918133,0.0001897901,0.1533639],"genre_scores_gemma":[0.9966437,0.0007485249,0.00007897762,0.000004229803,0.00007072753,0.00003057463,0.000002891786,0.00001023926,0.002410095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1570435,"threshold_uncertainty_score":0.6895162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04668289812860786,"score_gpt":0.2740915543795771,"score_spread":0.2274086562509692,"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."}}