{"id":"W4289638294","doi":"10.1029/2022ef002814","title":"Why do the Global Warming Responses of Land‐Surface Models and Climatic Dryness Metrics Disagree?","year":2022,"lang":"en","type":"article","venue":"Earth s Future","topic":"Climate variability and models","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"National Center for Atmospheric Research","keywords":"Dryness; Environmental science; Surface runoff; Precipitation; Water content; Arid; Greenhouse gas; Climate change; Global warming; Climatology; Moisture; Atmospheric sciences; Earth system science; Meteorology; Ecology; Geography; Biology; 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":[0.01731791,0.0007465265,0.00121514,0.001828807,0.0005518413,0.002968607,0.002323051,0.002504946,0.002299743],"category_scores_gemma":[0.0598022,0.00053993,0.0009508006,0.001798337,0.001593917,0.004201083,0.002171362,0.001940307,0.0007900361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028302,"about_ca_system_score_gemma":0.0006136582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008570481,"about_ca_topic_score_gemma":0.004570472,"domain_scores_codex":[0.9942824,0.00310032,0.0003630944,0.001234391,0.0007102715,0.0003097081],"domain_scores_gemma":[0.9712605,0.01620129,0.002352657,0.004485951,0.004874251,0.0008254224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001537826,0.0005018462,0.4985341,0.001164629,0.006496178,0.0004547078,0.002042926,0.2741064,0.01137058,0.04219275,0.04599344,0.1156046],"study_design_scores_gemma":[0.0004666907,0.0005097151,0.4276573,0.0007778049,0.001215071,0.0001809012,0.004270231,0.412867,0.01093559,0.1130811,0.02756032,0.0004781554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.88829,0.007811903,0.03110656,0.03645094,0.001588627,0.0001394312,0.004575692,0.00107996,0.02895682],"genre_scores_gemma":[0.9926287,0.0007548283,0.00208674,0.00242074,0.0003076855,0.00003129372,0.001107998,0.000297939,0.0003640954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01731791,"threshold_uncertainty_score":0.09158695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199714160439331,"score_gpt":0.2435307371208963,"score_spread":0.2235593210769632,"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."}}