{"id":"W2034219811","doi":"10.1080/13876988.2011.605937","title":"Climate Change Policy Capacity at the Sub-National Government Level","year":2011,"lang":"en","type":"article","venue":"Journal of Comparative Policy Analysis Research and Practice","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"LISREL; Climate change; Structural equation modeling; Bureaucracy; Government (linguistics); Work (physics); Perception; Political science; Public policy; Organisation climate; Environmental planning; Environmental resource management; Public economics; Business; Geography; Public relations; Economics; Computer science; Psychology; Politics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003754574,0.00009220537,0.0002802794,0.001355422,0.001769979,0.00308972,0.0007863944,0.0004802192,0.006149292],"category_scores_gemma":[0.01457419,0.0001818313,0.000277513,0.001991202,0.002100077,0.002153738,0.002171473,0.0007734741,0.0006639558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01264444,"about_ca_system_score_gemma":0.02263184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.337751,"about_ca_topic_score_gemma":0.4852219,"domain_scores_codex":[0.996472,0.001128595,0.0001271416,0.0003097038,0.0007192848,0.001243344],"domain_scores_gemma":[0.9871967,0.004845003,0.001663408,0.001370911,0.003332174,0.001591754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001242712,0.0002922868,0.7627798,0.0002303531,0.0001604351,0.0001837583,0.02376397,0.01769595,0.00291291,0.08448361,0.006001232,0.1013714],"study_design_scores_gemma":[0.00001834155,0.00009288365,0.8613059,0.0002834766,0.00005934573,0.00007590101,0.04299389,0.01565096,0.0009190845,0.03242831,0.0461165,0.00005543291],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.90622,0.0002671702,0.003400195,0.005765249,0.00002093301,0.00008976596,0.0004452695,0.00009214023,0.08369929],"genre_scores_gemma":[0.9979632,0.0001136203,0.0005620243,0.00009247905,0.000004242914,0.00001950012,0.0001291275,0.000004435723,0.001111299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.337751,"threshold_uncertainty_score":0.6715702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5202383482229527,"score_gpt":0.4733059931068788,"score_spread":0.04693235511607391,"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."}}