{"id":"W2787912884","doi":"","title":"Taking Action on Green Resilience: Climate Change Adaptation and Mitigation Synergies","year":2017,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Action (physics); Climate change; Environmental resource management; Climate change adaptation; Adaptation (eye); Environmental planning; Environmental science; Psychology; Ecology","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":[0.0159909,0.001287074,0.0005738264,0.002525739,0.01388332,0.01483683,0.002215235,0.006680888,0.009910109],"category_scores_gemma":[0.01389547,0.0003711209,0.0008419657,0.002588244,0.01840323,0.008575827,0.01444403,0.006119286,0.0008022625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05252853,"about_ca_system_score_gemma":0.1435975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4349269,"about_ca_topic_score_gemma":0.6721468,"domain_scores_codex":[0.9860428,0.005323866,0.0002184308,0.0006832277,0.003317206,0.004414484],"domain_scores_gemma":[0.9902794,0.003220129,0.0005169287,0.0005044231,0.002286445,0.00319271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001658682,0.0002668934,0.004097083,0.001289605,0.0001246972,0.0006991716,0.0244727,0.006307632,0.003558285,0.5830364,0.1669109,0.2090707],"study_design_scores_gemma":[0.00004900143,0.0001283656,0.01217888,0.001711462,0.0001109303,0.0001564769,0.05179249,0.002723509,0.003840035,0.1928963,0.734281,0.0001315776],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03073807,0.008853472,0.01518721,0.644401,0.001605292,0.0004028681,0.0002375845,0.0002634636,0.2983111],"genre_scores_gemma":[0.8499088,0.01535498,0.03107288,0.0644656,0.0005733025,0.0003854503,0.0002325191,0.0001588506,0.0378476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4349269,"threshold_uncertainty_score":0.8647907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02902082342268661,"score_gpt":0.2337018526675754,"score_spread":0.2046810292448888,"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."}}