{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001234866,0.0004137215,0.0004463209,0.0009735108,0.01089626,0.004175949,0.001933187,0.002775069,0.003873226],"category_scores_gemma":[0.003118065,0.0004315048,0.0003644908,0.002871084,0.008067897,0.00200993,0.004464434,0.00322603,0.0002459435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00924433,"about_ca_system_score_gemma":0.004698379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1113451,"about_ca_topic_score_gemma":0.27997,"domain_scores_codex":[0.9980389,0.0009544506,0.00004090208,0.0001131099,0.0001136221,0.0007389595],"domain_scores_gemma":[0.9975024,0.001420082,0.0003474072,0.0001403223,0.0001473691,0.0004424709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001463839,0.0003891169,0.05254217,0.0003411533,0.0000593135,0.06013694,0.8300363,0.0009272403,0.001151316,0.03138522,0.005561567,0.01732332],"study_design_scores_gemma":[0.000008663299,0.0000838775,0.01670415,0.00008712752,0.00002203183,0.001915159,0.9613001,0.000117507,0.0002605962,0.0007759406,0.01870416,0.00002057532],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97676,0.000187236,0.000146437,0.002984577,0.00003213494,0.00003578771,0.00004943873,0.000008329279,0.01979613],"genre_scores_gemma":[0.995809,0.0003356788,0.0001329957,0.0002728057,0.00001236898,0.00001725269,0.00002362251,0.000007533376,0.003388806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1113451,"threshold_uncertainty_score":0.221394,"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."}}