{"id":"W4404610268","doi":"10.1038/s43247-024-01891-w","title":"Impacts of agriculture and snow dynamics on catchment water balance in the U.S. and Great Britain","year":2024,"lang":"en","type":"article","venue":"Communications Earth & Environment","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Streamflow; Evapotranspiration; Water balance; Environmental science; Precipitation; Water resources; Arid; Snow; Hydrology (agriculture); Climate change; Climatology; Drainage basin; Water resource management; Ecology; Geography; Meteorology; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002816675,0.00009269702,0.00008743482,0.0000233454,0.0001259166,0.00001890123,0.0002361226,0.00003219404,0.00005043379],"category_scores_gemma":[0.000004044417,0.00005220732,0.00001693263,0.00004920206,0.0004116336,0.00006644034,0.0005073383,0.0001361217,0.00006542308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004504839,"about_ca_system_score_gemma":7.177238e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001770431,"about_ca_topic_score_gemma":0.0004565116,"domain_scores_codex":[0.9993678,0.0001002749,0.0001227302,0.0001663982,0.000103485,0.0001393508],"domain_scores_gemma":[0.9993805,0.00008028076,0.00001674077,0.0004988352,5.689565e-7,0.00002305099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005499202,0.0009978594,0.8761043,0.0001685109,0.0002423137,0.0000437027,0.03459478,0.006241019,0.005750393,0.01514452,0.006351609,0.054306],"study_design_scores_gemma":[0.0003361802,0.000199067,0.9028943,0.00008638541,0.00005901928,0.00001312387,0.0008808415,0.005816631,0.0007030992,0.001765801,0.08702204,0.0002234757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737065,0.001498582,0.00005599298,0.02029754,0.00001717271,0.0003380438,0.00001089191,0.00001196873,0.004063318],"genre_scores_gemma":[0.9930657,0.006070621,0.0002240671,0.0002876487,0.000003426732,0.00004104707,0.00002493927,0.000003919433,0.0002786478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08067043,"threshold_uncertainty_score":0.2128953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008376509047633537,"score_gpt":0.2138221832116141,"score_spread":0.2054456741639806,"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."}}