{"id":"W4282940914","doi":"10.3390/w14121920","title":"Impact of Climate Change on Soil Water Content in Southern Saskatchewan, Canada","year":2022,"lang":"en","type":"article","venue":"Water","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Soil and Water Assessment Tool; Environmental science; Water content; Climate change; Streamflow; Precipitation; Forcing (mathematics); Soil water; SWAT model; Climatology; Climate model; Hydrology (agriculture); Growing season; Drainage basin; Geography; Meteorology; Soil science; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001949713,0.0001028223,0.0001346495,0.00002828619,0.0001196589,0.000003082985,0.0001307661,0.00001614889,0.004729225],"category_scores_gemma":[5.499875e-7,0.000055856,0.00004396128,0.000028571,0.00005347676,0.00003348086,0.0004810358,0.00009522451,0.0002096905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002413821,"about_ca_system_score_gemma":0.000003111533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.752385,"about_ca_topic_score_gemma":0.7827452,"domain_scores_codex":[0.9990692,0.00006001902,0.0001225965,0.000179483,0.0001756364,0.0003930464],"domain_scores_gemma":[0.9998131,0.000005424208,0.00001894431,0.0001330581,0.000001605484,0.00002783579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003067338,0.0002272837,0.9216566,0.00001609923,0.00008176029,0.0001371014,0.04369545,0.01411141,0.01096714,0.000003200292,0.007507281,0.001289961],"study_design_scores_gemma":[0.00476414,0.002098678,0.8811205,0.000024987,0.00009255476,0.00001092501,0.03187595,0.0006835189,0.03422558,0.0004172566,0.04330598,0.001379919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952586,0.000003748613,2.555537e-7,0.001900763,0.00008326153,0.0001494368,0.00003182534,0.0000081235,0.002564023],"genre_scores_gemma":[0.9960601,0.00000220375,0.000001449072,0.001032171,0.0000110044,0.00007509119,0.00001812377,0.000008497451,0.002791397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04053607,"threshold_uncertainty_score":0.9961806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920620251114159,"score_gpt":0.2087498044168672,"score_spread":0.1895436019057257,"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."}}