{"id":"W4410383814","doi":"10.1016/j.agrformet.2025.110623","title":"Local and downwind precipitation has been boosted by evapotranspiration change-induced moisture recycling in the Chinese Loess Plateau","year":2025,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Beijing Normal University; National Natural Science Foundation of China; Google","keywords":"Loess plateau; Evapotranspiration; Precipitation; Environmental science; Loess; Moisture; Hydrology (agriculture); Plateau (mathematics); Climate change; Water content; Atmospheric sciences; Climatology; Geology; Meteorology; Soil science; Geography; Geomorphology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001552647,0.0001164523,0.0001190234,0.00002671553,0.0001498031,0.00004033882,0.00008431741,0.0001386291,0.000006761109],"category_scores_gemma":[0.00001020538,0.00005829779,0.00001829311,0.0002256863,0.00009885181,0.0002028915,0.00003692665,0.0001546904,0.000003120278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002624855,"about_ca_system_score_gemma":0.0000019051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001559347,"about_ca_topic_score_gemma":0.009806507,"domain_scores_codex":[0.9993187,0.00008834151,0.0001529359,0.0002088837,0.00008126776,0.0001498994],"domain_scores_gemma":[0.9997928,0.00007416169,0.00004143961,0.00006002536,0.000005603717,0.0000260017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001696276,0.000141532,0.8936263,0.00003649305,0.00006061901,0.00001284311,0.00977723,0.005706364,0.04878483,0.001304081,0.0004428806,0.0399372],"study_design_scores_gemma":[0.0003696492,0.00008335087,0.9909836,0.000008490693,0.00002384111,0.00001990627,0.0000841432,0.006618034,0.00005429616,0.001313707,0.0003500742,0.00009092207],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956628,0.0001826919,0.0001608569,0.003031122,0.00005776895,0.0003171271,0.00001107805,0.00001179521,0.0005647306],"genre_scores_gemma":[0.999216,0.00005612252,0.00003467943,0.000374759,0.00001364513,0.00004817887,0.0001680145,0.000002124904,0.00008653504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09735729,"threshold_uncertainty_score":0.5472261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009832425003063888,"score_gpt":0.2150245398332821,"score_spread":0.2051921148302182,"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."}}