{"id":"W4389238148","doi":"10.1017/sus.2023.25","title":"Ten new insights in climate science 2023","year":2023,"lang":"en","type":"article","venue":"Global Sustainability","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Future Earth","funders":"Japan Society for the Promotion of Science; Consortium of International Agricultural Research Centers; Nuclear Safety and Security Commission; Svenska Forskningsrådet Formas; Eidgenössische Technische Hochschule Zürich; Bundesministerium für Bildung und Forschung; European Commission; Ministry of Education, Culture, Sports, Science and Technology; National Aeronautics and Space Administration; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Research Institute for Humanity and Nature; Vetenskapsrådet; National Science Foundation","keywords":"Climate change; Global warming; Environmental resource management; Glacier; Environmental science; Greenhouse gas; Natural resource economics; Environmental planning; Geography; Ecology; Physical geography; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001052399,0.0001384596,0.0001658674,0.00007104057,0.0002654337,0.00005577357,0.0003946151,0.00006863484,0.0005980768],"category_scores_gemma":[0.0006988535,0.0001232171,0.0000362837,0.003899987,0.0004525904,0.0004542504,0.0007982604,0.0001073447,0.00150056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00358317,"about_ca_system_score_gemma":0.0002600978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007387511,"about_ca_topic_score_gemma":0.004013652,"domain_scores_codex":[0.9974834,0.0000469658,0.0002646433,0.0005439715,0.0004770053,0.001184047],"domain_scores_gemma":[0.9989802,0.00003820896,0.0000495917,0.0004243505,0.00002906363,0.0004785806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004169868,0.0000751168,0.9547694,0.00006604769,5.674464e-7,0.00007066349,0.0009629034,0.0004497529,0.00004386212,0.001289708,0.01294289,0.02928735],"study_design_scores_gemma":[0.0002508818,0.00005121748,0.9381125,0.00000925908,0.000001736682,0.000002361742,0.000987876,0.0004284853,0.00001782366,0.04738429,0.01261916,0.0001343836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690067,0.000037222,0.000004303435,0.005156846,0.0001608916,0.0004628204,0.00001493776,0.0001289591,0.02502738],"genre_scores_gemma":[0.998935,0.0001177274,0.00004755401,0.0005531564,0.00004427822,0.0000164085,0.000006949565,0.000005344185,0.0002736043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04609458,"threshold_uncertainty_score":0.9992769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02777047532488735,"score_gpt":0.3389638210469675,"score_spread":0.3111933457220802,"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."}}