{"id":"W3134811688","doi":"10.1080/13549839.2021.1892046","title":"Growth over resilience: how Canadian municipalities frame the challenge of reducing carbon emissions","year":2021,"lang":"en","type":"article","venue":"Local Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Climate change; Status quo; Greenhouse gas; Climate change mitigation; Urban resilience; Business; Social exclusion; Psychological resilience; Environmental planning; Sustainability; Urban planning; Natural resource economics; Environmental resource management; Economic growth; Political science; Economics; Geography; Engineering; Civil engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003353775,0.0000852395,0.0001299963,0.00002047749,0.0003501294,0.0000228347,0.0002520055,0.00009905687,0.0007095206],"category_scores_gemma":[0.00006017567,0.00006503748,0.00006694562,0.0001063224,0.0007197908,0.00007093797,0.00003466963,0.0001768611,0.000002101249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002163256,"about_ca_system_score_gemma":0.0002965648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4713844,"about_ca_topic_score_gemma":0.2604063,"domain_scores_codex":[0.9987862,0.0001417356,0.0001498991,0.0002328189,0.0003805349,0.0003088041],"domain_scores_gemma":[0.9993327,0.00007298241,0.0000482523,0.0003303426,0.00001282357,0.0002029502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00006721907,0.001136404,0.4198308,0.0002826495,0.0002532626,0.0002743701,0.4428234,0.003968376,0.003541323,0.09793503,0.002743406,0.0271438],"study_design_scores_gemma":[0.001028931,0.0001880733,0.5367497,0.0003706694,0.0002422354,0.000001220618,0.1957913,0.002018649,0.01433313,0.02434686,0.2236413,0.001287931],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433893,0.001359727,0.00004803595,0.01633854,0.0001352751,0.0001456454,0.00001717936,0.00001306096,0.03855326],"genre_scores_gemma":[0.9954254,0.0004181781,0.00003311809,0.0001113387,0.00008021163,0.00000988334,0.000004517101,0.000006278865,0.003911077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2470321,"threshold_uncertainty_score":0.7768753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711574505593429,"score_gpt":0.247366838108419,"score_spread":0.2302510930524847,"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."}}