{"id":"W3125077876","doi":"10.1017/sus.2021.2","title":"Ten new insights in climate science 2020 – a horizon scan","year":2021,"lang":"en","type":"article","venue":"Global Sustainability","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; McMaster University; United Nations University Institute for Water, Environment, and Health; Fulbright Canada; Centre for Global Health Research","funders":"National Renewable Energy Laboratory; Lawrence Livermore National Laboratory; Japan Society for the Promotion of Science; Agencia Nacional de Investigación y Desarrollo; Earth League; Global Affairs Canada; Economic and Social Research Council; U.S. Department of Energy; European Commission; Biological and Environmental Research; Department for Environment, Food and Rural Affairs, UK Government; National Science Foundation; European Space Agency; Arizona State University; Fundação de Amparo à Pesquisa do Estado de São Paulo; Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Met Office; Office of Science; Climate Extremes","keywords":"Climate change; Permafrost; Greenhouse gas; Equity (law); Natural resource economics; Corporate governance; Environmental resource management; Global warming; Business; Political science; Environmental science; Environmental planning; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001433185,0.0001319276,0.0001845005,0.00006213053,0.0006767109,0.0002614959,0.000334221,0.0001038817,0.0001313789],"category_scores_gemma":[0.003670095,0.000140902,0.00006025835,0.003514824,0.0007542413,0.0007883731,0.000183139,0.0001015553,0.00001960898],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006170779,"about_ca_system_score_gemma":0.006352482,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02895423,"about_ca_topic_score_gemma":0.2462948,"domain_scores_codex":[0.9973302,0.0003076192,0.0003061342,0.0006090979,0.0007129025,0.0007340473],"domain_scores_gemma":[0.9981647,0.00007058484,0.00009017233,0.0003473168,0.001027541,0.0002997579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009217274,0.0003959915,0.5525092,0.0001249713,0.000007045113,0.0001307119,0.04773389,0.0001522337,0.0001940467,0.3081068,0.001717553,0.08883542],"study_design_scores_gemma":[0.0005319049,0.00008067032,0.720111,0.00002636845,0.00001332104,0.000003120083,0.1030541,0.0002185256,0.0001474973,0.1286076,0.04686682,0.000339089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654838,0.0003121935,0.00009778143,0.009534159,0.0003172167,0.0004919529,0.00001417593,0.0001000646,0.02364869],"genre_scores_gemma":[0.9988366,0.0002230219,0.0003157969,0.0001437726,0.0001796707,0.00001642077,0.00001564784,0.000004787425,0.0002642348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2173405,"threshold_uncertainty_score":0.9992806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03532015686117834,"score_gpt":0.3367203726464949,"score_spread":0.3014002157853166,"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."}}