{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004252481,0.0004000831,0.000298919,0.001334379,0.001511094,0.001364307,0.0007328822,0.0003228342,0.002769165],"category_scores_gemma":[0.0008018555,0.0002481217,0.0004852134,0.003366744,0.0006047451,0.000423381,0.0006279489,0.0004487615,0.0003021259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03353792,"about_ca_system_score_gemma":0.04150541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960426,"about_ca_topic_score_gemma":0.9986185,"domain_scores_codex":[0.9996076,0.00003952282,0.00002657268,0.00008096318,0.0001181447,0.0001272664],"domain_scores_gemma":[0.9990053,0.0001047887,0.00009166669,0.00003745712,0.0006244749,0.0001363131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001368944,0.00009492884,0.9449557,0.0001656801,0.0003569556,0.0005060264,0.0008903951,0.01132079,0.003338628,0.0008985004,0.005503654,0.03183193],"study_design_scores_gemma":[0.00002251634,0.00001495411,0.9865536,0.00006917052,0.00006275713,0.00004215645,0.001793934,0.006418429,0.000496819,0.0001658716,0.004319401,0.00004042221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803283,0.0008785216,0.0003366064,0.0006255746,0.00002458791,0.00006437443,0.008047676,0.00006095441,0.009633479],"genre_scores_gemma":[0.9931272,0.0007375417,0.0005171318,0.000159458,0.000004386054,0.00003837158,0.00213164,0.0000145285,0.003269838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03353792,"threshold_uncertainty_score":0.2433358,"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."}}