{"id":"W3092951905","doi":"10.1088/1748-9326/ab9db3","title":"Global aridity changes due to differences in surface energy and water balance between 1.5 °C and 2 °C warming","year":2020,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Ministry of Education, Culture, Sports, Science and Technology; Japan Society for the Promotion of Science; Natural Environment Research Council; Sight Research UK; Environmental Restoration and Conservation Agency","keywords":"Aridification; Global warming; Environmental science; Arid; Climatology; Climate change; Coupled model intercomparison project; Amazon rainforest; Water balance; Climate model; Atmospheric sciences; Ecology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000506072,0.0004876509,0.0003694107,0.0003056402,0.0002667384,0.0007308898,0.0003732523,0.0004492833,0.001614319],"category_scores_gemma":[0.0006318453,0.0001913629,0.001113352,0.0005159483,0.0002367939,0.0006397457,0.0006501671,0.0006076116,0.0001900192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004547691,"about_ca_system_score_gemma":0.0004482831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01177752,"about_ca_topic_score_gemma":0.007839164,"domain_scores_codex":[0.9998134,0.00005548752,0.00001166679,0.00005059863,0.00002794977,0.00004090199],"domain_scores_gemma":[0.9998116,0.00004424771,0.00003654803,0.00003607149,0.00004240216,0.00002905219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006322704,0.0001622786,0.2603212,0.0002398478,0.001057779,0.0005477943,0.0001865992,0.6953898,0.01851746,0.003350803,0.003699629,0.01589461],"study_design_scores_gemma":[0.0001859231,0.0003243216,0.5064771,0.00007362165,0.0005027716,0.0001861666,0.0004915799,0.4742904,0.007094228,0.003784113,0.006447003,0.0001427174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917879,0.0001769233,0.002149191,0.0002128795,0.00006734736,0.00001452826,0.002162173,0.0001189859,0.003310112],"genre_scores_gemma":[0.9978829,0.00006465743,0.0005225308,0.00004052751,0.00001136891,0.00001660382,0.001258669,0.00001744251,0.0001853446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01177752,"threshold_uncertainty_score":0.02341795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05602033071654854,"score_gpt":0.2770131170190049,"score_spread":0.2209927863024564,"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."}}