{"id":"W2899727215","doi":"10.1029/2018ms001389","title":"Evaluation of Simulated Snow and Snowmelt Timing in the Community Land Model Using Satellite‐Based Products and Streamflow Observations","year":2018,"lang":"en","type":"article","venue":"Journal of Advances in Modeling Earth Systems","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Goddard Space Flight Center; National Aeronautics and Space Administration","keywords":"Snowmelt; Snow; Streamflow; Environmental science; Terrain; Climatology; Satellite; Surface runoff; Meteorology; Atmospheric sciences; Hydrology (agriculture); Geology; Drainage basin; Geography; Physics","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":[0.00192875,0.00112704,0.0006758818,0.0005540932,0.000512962,0.0008070666,0.001642376,0.001185101,0.0009604183],"category_scores_gemma":[0.003267075,0.0005365849,0.0006543944,0.0005782879,0.0004211995,0.001071089,0.0006948864,0.0006331731,0.0001845192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002183442,"about_ca_system_score_gemma":0.002142461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09399775,"about_ca_topic_score_gemma":0.05359787,"domain_scores_codex":[0.9995421,0.0001911517,0.00002365636,0.00009320959,0.0000770037,0.00007291203],"domain_scores_gemma":[0.9984581,0.0006108742,0.0001540664,0.0001180364,0.0004390602,0.0002198059],"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":[0.000460133,0.0002535804,0.04435351,0.00003336455,0.0001162387,0.00009396793,0.00005596951,0.9476982,0.002239068,0.0002032239,0.0003013801,0.004191439],"study_design_scores_gemma":[0.0001242009,0.0001279869,0.005388509,0.000004377166,0.00001844639,0.00000766355,0.00002613295,0.9932579,0.0008125546,0.00006616225,0.000152983,0.00001316003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977484,0.00002712754,0.0009653691,0.00004889384,0.00001006707,0.0000264029,0.0003603121,0.0001735697,0.0006398149],"genre_scores_gemma":[0.9963562,0.00001778155,0.002519586,0.00001584014,0.00000451606,0.00003217435,0.0007844735,0.00003522403,0.0002340976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09399775,"threshold_uncertainty_score":0.1869012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1971028581945801,"score_gpt":0.3319430489497145,"score_spread":0.1348401907551345,"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."}}