{"id":"W2089704555","doi":"10.1038/ngeo2247","title":"Global assessment of trends in wetting and drying over land","year":2014,"lang":"en","type":"article","venue":"Nature Geoscience","topic":"Climate variability and models","field":"Environmental Science","cited_by":873,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Eidgenössische Technische Hochschule Zürich; Centrum fÖr Personcentrerad Vård; Goddard Space Flight Center; University of Bristol; University of East Anglia","keywords":"Dryness; Arid; Aridity index; Environmental science; Potential evaporation; Precipitation; Land use; Climatology; Dry land; Physical geography; Land degradation; Climate change; Hydrology (agriculture); Geography; Meteorology; Geology; Ecology; Oceanography; Agronomy","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":[0.000617441,0.0003486545,0.0001811291,0.0009317775,0.0001378766,0.0004346276,0.0002320439,0.0003848625,0.0007260287],"category_scores_gemma":[0.0009041797,0.0001681397,0.0004674842,0.00168218,0.0002345801,0.0008468974,0.0004219991,0.0002229138,0.0001517516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005943451,"about_ca_system_score_gemma":0.0003268397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01366798,"about_ca_topic_score_gemma":0.01907282,"domain_scores_codex":[0.9998845,0.00001818131,0.00001214539,0.00004381664,0.0000239028,0.00001733265],"domain_scores_gemma":[0.9993786,0.0001052671,0.000211319,0.00008667675,0.0001452075,0.00007292666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004488181,0.0001165228,0.9113678,0.0001522456,0.0003916647,0.00008983049,0.0001841717,0.03946879,0.00882634,0.0005520125,0.001426811,0.0369751],"study_design_scores_gemma":[0.00001074315,0.00007995625,0.9819081,0.0000107052,0.00006082977,0.00003225645,0.00009376135,0.01486851,0.001012525,0.0002888527,0.001623217,0.00001051125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931718,0.0002038208,0.0007570062,0.000159294,0.00001040122,0.000007880772,0.004432953,0.00007380406,0.00118302],"genre_scores_gemma":[0.9947301,0.0002138522,0.001021458,0.00003105295,0.000008298049,0.000007760893,0.003623957,0.00001758933,0.0003459201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01366798,"threshold_uncertainty_score":0.02717686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006550320698947231,"score_gpt":0.2880698963438786,"score_spread":0.2815195756449314,"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."}}