{"id":"W4408664781","doi":"10.1016/j.cities.2025.105891","title":"Impact of political incentives on urban green development: An analysis of 284 cities in China","year":2025,"lang":"en","type":"article","venue":"Cities","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Dalhousie University","funders":"Xi’an Jiaotong University","keywords":"China; Incentive; Politics; Economic geography; Political science; Development economics; Economics; Market economy; Law","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":[0.0007695261,0.0004127477,0.0006314513,0.001527705,0.001096162,0.001656391,0.000905098,0.0006308185,0.002306015],"category_scores_gemma":[0.001309688,0.0003764922,0.001302036,0.002623246,0.001210407,0.0007319818,0.001417192,0.0005886966,0.0001591967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008237437,"about_ca_system_score_gemma":0.005717338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3170732,"about_ca_topic_score_gemma":0.4195616,"domain_scores_codex":[0.9990638,0.0001551834,0.00003457914,0.0001002275,0.0001060597,0.0005401649],"domain_scores_gemma":[0.9982507,0.0003409367,0.0004186903,0.0001003158,0.0003441495,0.0005452735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002405642,0.0002815443,0.9627824,0.00003955296,0.0003798837,0.0006217515,0.0005859996,0.02648545,0.0005411786,0.002512919,0.001041308,0.004487361],"study_design_scores_gemma":[0.00002985868,0.00007899386,0.9656516,0.000009583208,0.0001707943,0.00002907225,0.00232746,0.03015569,0.0002275315,0.0005029941,0.0007835458,0.00003274203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991766,0.00005623193,0.00007504124,0.0001145479,0.000001999061,0.000005602688,0.0001200997,0.00000491764,0.0004450312],"genre_scores_gemma":[0.9994712,0.00003437015,0.00001498841,0.00001009054,0.000001882978,0.000003036387,0.0001238397,0.000001455713,0.0003391102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3170732,"threshold_uncertainty_score":0.6304553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741832666588204,"score_gpt":0.2324871386896001,"score_spread":0.215068812023718,"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."}}