{"id":"W3113421777","doi":"10.3390/su13010154","title":"Strategies and Governance for Implementing Deep Decarbonization Plans at the Local Level","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto; University of Waterloo","funders":"Colleges and Institutes Canada; Social Sciences and Humanities Research Council of Canada; Mitacs","keywords":"Transformative learning; Corporate governance; Government (linguistics); Greenhouse gas; Local government; Business; Political science; Public administration; Economic growth; Sociology; Economics; Finance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004670438,0.0001495567,0.0001361735,0.000003029666,0.000463277,0.00008288689,0.0002117403,0.00005535144,0.0003797694],"category_scores_gemma":[0.000627637,0.0001167948,0.00005318121,0.00018469,0.000541355,0.000390619,0.0004861576,0.000092042,0.000005494179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001247044,"about_ca_system_score_gemma":0.00007662543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005406743,"about_ca_topic_score_gemma":0.004648859,"domain_scores_codex":[0.9985625,0.00006584221,0.0002191253,0.0004584657,0.0002306947,0.0004633667],"domain_scores_gemma":[0.999286,0.0001906897,0.0001158768,0.0002439684,0.00007009735,0.00009336976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009438314,0.000189946,0.7587122,0.001700376,0.00004497337,0.00001934432,0.06938867,0.01474897,0.0005459703,0.04137561,0.004650414,0.1076797],"study_design_scores_gemma":[0.001188549,0.0002951058,0.6080715,0.000007407547,0.00004895634,0.000006460162,0.2284917,0.02565086,0.001051382,0.04204198,0.09260979,0.0005362628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625975,0.0001542683,0.02153871,0.01392566,0.00003168959,0.0009559551,0.00008451662,0.00004377767,0.0006679554],"genre_scores_gemma":[0.9989473,0.00002035602,0.0001355994,0.0005624891,0.00004329062,0.0001091659,0.00001367466,0.00001246592,0.000155609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1591031,"threshold_uncertainty_score":0.4762754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02791359742796587,"score_gpt":0.2631832079896488,"score_spread":0.235269610561683,"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."}}