{"id":"W2051891223","doi":"10.1175/2007jhm958.1","title":"Effects of Spatial Aggregation of Initial Conditions and Forcing Data on Modeling Snowmelt Using a Land Surface Scheme","year":2008,"lang":"en","type":"article","venue":"Journal of Hydrometeorology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Saskatchewan","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Snowmelt; Snow; Environmental science; Forcing (mathematics); Atmospheric sciences; Climatology; Hydrology (agriculture); Meteorology; Geology; Geography","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":[0.001351168,0.0004317398,0.0004775442,0.0003744117,0.000383254,0.0005234665,0.0004893577,0.0003666062,0.0003567614],"category_scores_gemma":[0.002841879,0.000258743,0.0005258371,0.0003297397,0.0004700116,0.0003776889,0.0005263512,0.0003035086,0.00005725777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007696731,"about_ca_system_score_gemma":0.0005015822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02629391,"about_ca_topic_score_gemma":0.0159333,"domain_scores_codex":[0.9995921,0.0001842702,0.00004219674,0.00007264817,0.00005657916,0.00005217782],"domain_scores_gemma":[0.9978795,0.001301225,0.0001871636,0.0002521424,0.0002698074,0.0001102699],"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":[0.0002784982,0.0001090328,0.02962336,0.00002124735,0.00005314547,0.00004736549,0.00006062248,0.9586973,0.00414347,0.0001856823,0.00005787037,0.00672237],"study_design_scores_gemma":[0.00003594307,0.0001867631,0.007786,0.000003443127,0.00001963558,0.000005373385,0.00002439624,0.9900466,0.001771809,0.00005821475,0.00005665299,0.000005274577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960229,0.0000193528,0.003350184,0.00001621699,0.00000613408,0.00002224359,0.00005017716,0.00007168023,0.0004409564],"genre_scores_gemma":[0.9982556,0.000006969713,0.001646421,0.000004337178,0.000001363586,0.000009291723,0.00002979119,0.000003106584,0.00004318196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02629391,"threshold_uncertainty_score":0.05228174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05725779397714784,"score_gpt":0.2902493609198,"score_spread":0.2329915669426522,"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."}}