{"id":"W2757233786","doi":"10.1007/978-3-319-65003-6_14","title":"Multilevel Governance and Innovations in the Financing of Urban Climate Change Strategies","year":2017,"lang":"en","type":"book-chapter","venue":"˜The œurban book series","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Climate change; Decentralization; Corporate governance; Climate Finance; Finance; Business; Political economy of climate change; Revenue; Climate change mitigation; Multi-level governance; Political science","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":[0.0009315104,0.0002977733,0.0002829482,0.0006210994,0.0007243286,0.004343312,0.0005437642,0.001224141,0.0131427],"category_scores_gemma":[0.003368247,0.0001759522,0.0002560296,0.002013103,0.002505027,0.00292391,0.001843887,0.00246188,0.0008158078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006447418,"about_ca_system_score_gemma":0.005332469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005614577,"about_ca_topic_score_gemma":0.01260558,"domain_scores_codex":[0.9993893,0.0002518927,0.00001511807,0.000052935,0.0001746924,0.0001160896],"domain_scores_gemma":[0.9990926,0.000528899,0.00009046316,0.00008711089,0.000104298,0.00009656127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004777871,0.00001569909,0.0002378713,0.0000303382,0.000004353202,0.000006857875,0.0001583568,0.002832953,0.00003564242,0.9581414,0.01422806,0.02430369],"study_design_scores_gemma":[0.00001169744,0.00001677886,0.001706433,0.0001734762,0.00000749203,0.00001315635,0.0003109957,0.004951064,0.0001508444,0.7805462,0.2121043,0.000007550647],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02846166,0.02211153,0.0296012,0.05702562,0.0008757974,0.00009097099,0.0002068324,0.0001724572,0.861454],"genre_scores_gemma":[0.7266119,0.02706027,0.007247079,0.002450346,0.001580634,0.0001902261,0.0001978103,0.0001201609,0.2345417],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0131427,"threshold_uncertainty_score":0.04677951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04101519628101279,"score_gpt":0.2728194552195929,"score_spread":0.2318042589385801,"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."}}