{"id":"W4312765600","doi":"10.1017/sus.2022.17","title":"Ten new insights in climate science 2022","year":2022,"lang":"en","type":"article","venue":"Global Sustainability","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Future Earth; Natural Resources Canada; Canadian Forest Service; Université du Québec à Montréal","funders":"Canadian Forest Service; Natural Environment Research Council; U.S. Forest Service; National Institute of Food and Agriculture; Instituto Serrapilheira; Bundesministerium für Bildung und Forschung; Akademie der Naturwissenschaften; Bundesministerium für Umwelt, Naturschutz, Bau und Reaktorsicherheit; Max-Planck-Gesellschaft; Svenska Forskningsrådet Formas; Norges Forskningsråd; University of Cambridge; European Commission; Sight Research UK; European Space Agency; U.S. Department of Agriculture","keywords":"Climate science; Environmental science; Earth science; Climate change; Geology; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01534561,0.001885458,0.001332318,0.004656334,0.002812073,0.01420912,0.001823763,0.007290096,0.03665437],"category_scores_gemma":[0.02986403,0.0005797491,0.001699098,0.004441929,0.005352628,0.01746795,0.006474455,0.01195365,0.0120579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005938589,"about_ca_system_score_gemma":0.01059541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003397331,"about_ca_topic_score_gemma":0.004351866,"domain_scores_codex":[0.9942073,0.002387834,0.0004081667,0.0004723375,0.001815959,0.0007084448],"domain_scores_gemma":[0.9791417,0.01104455,0.0007088042,0.001265445,0.005125456,0.002714063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001299118,0.00007380644,0.0006224234,0.001346674,0.00004769112,0.0001936385,0.0008190477,0.0006709468,0.0006461072,0.1387153,0.6907188,0.1660156],"study_design_scores_gemma":[0.00001201951,0.00004225368,0.0006210483,0.001371554,0.00001682007,0.00007794026,0.000995663,0.0002849805,0.0001359262,0.1006516,0.8957517,0.00003848041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.001450908,0.1608274,0.007870857,0.5988821,0.1815414,0.00009020316,0.00256703,0.0005237147,0.04624636],"genre_scores_gemma":[0.05664215,0.2926321,0.02741267,0.3219998,0.2185751,0.0006960874,0.006739933,0.0009605979,0.07434156],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03665437,"threshold_uncertainty_score":0.1226211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766855057910286,"score_gpt":0.3112669315959964,"score_spread":0.2935983810168936,"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."}}