{"id":"W2893249920","doi":"10.1175/jhm-d-18-0050.1","title":"Challenges in Modeling Turbulent Heat Fluxes to Snowpacks in Forest Clearings","year":2018,"lang":"en","type":"article","venue":"Journal of Hydrometeorology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Agriculture and Forestry; Canada Research Chairs; Alberta Environment and Parks; Canadian Foundation for Climate and Atmospheric Sciences; Canada Excellence Research Chairs, Government of Canada","keywords":"Snowpack; Snowmelt; Environmental science; Latent heat; Snow; Sensible heat; Atmospheric sciences; Turbulence; Wind speed; Meteorology; Terrain; Climatology; 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":[0.0006802385,0.0004806808,0.0004876151,0.0002677313,0.001153496,0.001380949,0.0009500468,0.0008541364,0.0005008863],"category_scores_gemma":[0.002011723,0.000349571,0.0005919134,0.0003642993,0.0007999205,0.0005888091,0.0005112754,0.0006318255,0.00005927786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002480472,"about_ca_system_score_gemma":0.003332037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3362833,"about_ca_topic_score_gemma":0.2595785,"domain_scores_codex":[0.9997624,0.00006582061,0.00001613065,0.00003252538,0.00004423992,0.00007902903],"domain_scores_gemma":[0.9995182,0.0002216847,0.00006484057,0.00004313995,0.00009905212,0.00005316861],"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":[0.00002844096,0.00002709325,0.009488868,0.00001512104,0.00001479937,0.00004498188,0.00005167827,0.9864266,0.0015162,0.0007937381,0.00007189845,0.001520663],"study_design_scores_gemma":[0.00002318746,0.00002032601,0.004352065,0.000007025493,0.000006197665,0.000009309308,0.00006469049,0.9941585,0.0006277276,0.0004656543,0.0002556459,0.000009625642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971893,0.0001273685,0.02460317,0.0001886699,0.0000236993,0.00006740777,0.0002061838,0.0001505659,0.002739809],"genre_scores_gemma":[0.9959893,0.00004384377,0.003591012,0.00002035909,0.000005598232,0.00001709715,0.00007987953,0.00002030902,0.0002326147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3362833,"threshold_uncertainty_score":0.6686518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06002042357313456,"score_gpt":0.261295949170771,"score_spread":0.2012755255976364,"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."}}