{"id":"W2002352385","doi":"10.1029/2008jd010597","title":"Evaluating a hierarchy of snowmelt models at a watershed in the Canadian Prairies","year":2009,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Golder Associates (Canada)","funders":"","keywords":"Snowmelt; Snowpack; Snow; Environmental science; Degree day; Watershed; Meltwater; Hydrology (agriculture); Drainage basin; Atmospheric sciences; Climatology; Meteorology; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001339897,0.001185468,0.0005840069,0.0007057539,0.001029538,0.001107193,0.001574459,0.0006878063,0.0006484521],"category_scores_gemma":[0.001869809,0.0005052299,0.0006882646,0.0005288205,0.0006509167,0.0006503961,0.0007117324,0.0005977594,0.00007043546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01031585,"about_ca_system_score_gemma":0.006054187,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7564119,"about_ca_topic_score_gemma":0.7525265,"domain_scores_codex":[0.9996548,0.00006569726,0.00002220174,0.0000839403,0.00008394599,0.00008958632],"domain_scores_gemma":[0.9992336,0.0002604252,0.00005205674,0.00004233535,0.0002869802,0.0001246487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002298882,0.0002075647,0.0329601,0.00004819678,0.00008665705,0.00005566404,0.00009823885,0.9500849,0.002586215,0.0004242314,0.0002533472,0.01296506],"study_design_scores_gemma":[0.00005783459,0.0001316421,0.008739087,0.000004146966,0.00002945479,0.000004713729,0.00007334994,0.9893782,0.001291612,0.00008846248,0.0001904728,0.00001109986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970726,0.00004084016,0.00133705,0.00004348872,0.00000332232,0.00005976866,0.00021391,0.0001420381,0.001087021],"genre_scores_gemma":[0.9930419,0.00003709728,0.005798654,0.00001952761,0.000001601056,0.00003478077,0.000486921,0.00001722037,0.0005621475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2435881,"threshold_uncertainty_score":0.4900454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09625692408839101,"score_gpt":0.3578117372484816,"score_spread":0.2615548131600905,"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."}}