{"id":"W3119238299","doi":"10.3390/su13010379","title":"Harnessing the Four Horsemen of Climate Change: A Framework for Deep Resilience, Decarbonization, and Planetary Health in Ontario, Canada","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climate change; Green infrastructure; Environmental resource management; Sustainable development; Adaptation (eye); Psychological resilience; Resilience (materials science); Environmental planning; Climate change adaptation; Climate resilience; Business; Bridging (networking); Sustainability; Geography; Ecology; Environmental science; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00178676,0.0004410061,0.0003747315,0.001486867,0.01023517,0.005947318,0.00192107,0.001082361,0.004042882],"category_scores_gemma":[0.00213148,0.0003546726,0.000492006,0.002104989,0.006985751,0.001512365,0.003186563,0.001444848,0.0001781321],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2046022,"about_ca_system_score_gemma":0.3099248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982951,"about_ca_topic_score_gemma":0.9993064,"domain_scores_codex":[0.9983382,0.0003723662,0.00005937048,0.0001282404,0.000371567,0.0007302037],"domain_scores_gemma":[0.9983297,0.0002296665,0.0001094198,0.00005398388,0.0006699779,0.000607255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009695804,0.0001102497,0.03119527,0.0005343378,0.00006809261,0.0009857649,0.01599822,0.04597715,0.001143413,0.7797326,0.05308325,0.07107466],"study_design_scores_gemma":[0.00007759473,0.00008072463,0.07679063,0.001659029,0.0001856349,0.000237569,0.05898213,0.0465879,0.001314579,0.1818625,0.6318879,0.0003337679],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.220443,0.01856931,0.03438473,0.1640399,0.000479064,0.0007034508,0.003621647,0.0002494286,0.5575095],"genre_scores_gemma":[0.9363152,0.007727237,0.01668186,0.001938622,0.0000458572,0.0001406517,0.000418644,0.00005612136,0.03667585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2046022,"threshold_uncertainty_score":0.9225487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02752316441330564,"score_gpt":0.2937382696098794,"score_spread":0.2662151051965737,"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."}}