{"id":"W2272329225","doi":"10.7202/1036221ar","title":"Why do cities get involved in climate governance? Insights from Canada and Italy","year":2016,"lang":"en","type":"article","venue":"Environnement urbain","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Climate change; Corporate governance; Multi-level governance; Regional science; Political science; Environmental planning; Action (physics); Climate policy; Economic geography; Geography; Business; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001629991,0.0002703381,0.000344129,0.001665588,0.01063345,0.006090755,0.001378155,0.001117189,0.00323953],"category_scores_gemma":[0.004061781,0.0001806796,0.0004111728,0.006004669,0.00654533,0.001788108,0.004072038,0.001783756,0.0002046682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09608412,"about_ca_system_score_gemma":0.05552759,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934192,"about_ca_topic_score_gemma":0.9971017,"domain_scores_codex":[0.9978974,0.0003811778,0.00003129625,0.0001438328,0.0003468309,0.001199445],"domain_scores_gemma":[0.9980483,0.0004169772,0.0002268907,0.0001142676,0.0005049791,0.0006886285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002345763,0.0002829163,0.270604,0.0002147028,0.00008065171,0.00257063,0.2945206,0.005140835,0.00052983,0.3432359,0.03744581,0.0451395],"study_design_scores_gemma":[0.00005406856,0.00003513748,0.3607822,0.0003220679,0.00007778867,0.0002473601,0.4681575,0.004389782,0.000298717,0.01233608,0.1532053,0.00009410688],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8322768,0.001295599,0.0005497276,0.02684196,0.00003959193,0.00006388032,0.0007237909,0.000018876,0.1381898],"genre_scores_gemma":[0.9929791,0.0007608106,0.0002888172,0.0007242728,0.00001053058,0.00001827602,0.0002499391,0.00001048263,0.004957826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09608412,"threshold_uncertainty_score":0.6971424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02886474733565226,"score_gpt":0.2467306131459818,"score_spread":0.2178658658103295,"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."}}