{"id":"W4206594932","doi":"10.1016/j.jhydrol.2022.127449","title":"Assessment of snowmelt and groundwater-surface water dynamics in mountains, foothills, and plains regions in northern latitudes","year":2022,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Energy; University of Alberta","funders":"","keywords":"Snowmelt; Foothills; Snow; Watershed; Environmental science; Climate change; Latitude; Hydrology (agriculture); Evapotranspiration; Climate model; Groundwater; Climatology; Physical geography; Geology; Geography; Ecology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000259747,0.0001478526,0.0001950855,0.0007925187,0.0003853139,0.0005722108,0.0001638344,0.0002100791,0.0004317486],"category_scores_gemma":[0.0003836169,0.000143935,0.0003041959,0.0007467684,0.0001905597,0.0003176929,0.00025026,0.0001028531,0.00007201908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006365469,"about_ca_system_score_gemma":0.0005688323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1145704,"about_ca_topic_score_gemma":0.2042253,"domain_scores_codex":[0.9998974,0.00002539513,0.00001030622,0.00002168327,0.00001742139,0.00002793509],"domain_scores_gemma":[0.9997707,0.00005556034,0.00005383521,0.00001203988,0.00004844372,0.00005946804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001125311,0.00002195274,0.9942158,0.00001453605,0.00004762803,0.0001270484,0.000324483,0.0009102243,0.001530134,0.0000478964,0.00007489447,0.002572834],"study_design_scores_gemma":[0.000002778891,0.00001423022,0.9986079,0.000002473051,0.00001126698,0.00002005472,0.000402665,0.0007308751,0.00009610608,0.000009813118,0.0001002077,0.000001566394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994581,0.00004420175,0.00003043219,0.0000104139,7.424889e-7,0.000002132913,0.0002271728,0.00000244235,0.0002243288],"genre_scores_gemma":[0.9994542,0.00003998279,0.00007815055,0.000004162331,0.00000158288,0.000002402204,0.0002592975,7.170498e-7,0.0001594895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1145704,"threshold_uncertainty_score":0.2278071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174414723286593,"score_gpt":0.2287778807594017,"score_spread":0.2170337335265358,"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."}}