{"id":"W2169309043","doi":"10.5194/tc-7-961-2013","title":"Snow specific surface area simulation using the one-layer snow model in the Canadian LAnd Surface Scheme (CLASS)","year":2013,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Center for Neuroscience and Regenerative Medicine; Centre National de la Recherche Scientifique","keywords":"Snowpack; Snow; Environmental science; Energy balance; Atmospheric sciences; Snow field; Albedo (alchemy); Climatology; Meteorology; Geology; Snow cover; 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":[0.0002130057,0.0007573679,0.000490231,0.0004129741,0.0009722424,0.0007745624,0.001529161,0.0006652371,0.002826385],"category_scores_gemma":[0.0006190437,0.0003031034,0.0008008105,0.0008615609,0.0003250458,0.0005325424,0.000376663,0.0005986848,0.0003025883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005960814,"about_ca_system_score_gemma":0.00711112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.914813,"about_ca_topic_score_gemma":0.8709579,"domain_scores_codex":[0.9998724,0.00001520771,0.000005016698,0.00002774046,0.00003835818,0.00004125724],"domain_scores_gemma":[0.9997143,0.00004415413,0.00001664189,0.00001711257,0.0001648976,0.00004276603],"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":[0.0001043988,0.00007182898,0.007355201,0.00005168554,0.00004659826,0.00004932776,0.00004996089,0.981173,0.002083884,0.001255348,0.001764662,0.005994113],"study_design_scores_gemma":[0.00003482168,0.00001122159,0.002577045,0.00000283258,0.00001175363,0.000003448349,0.0000138768,0.9960956,0.0003859711,0.0001056327,0.0007446929,0.00001308895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537639,0.0002610452,0.01707318,0.0003399694,0.0001118639,0.000194056,0.009382681,0.001211594,0.01766173],"genre_scores_gemma":[0.9826667,0.0001248562,0.01016415,0.00004699206,0.000009665386,0.00007459951,0.003902805,0.00009531072,0.002914918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08518702,"threshold_uncertainty_score":0.1713774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07888377367501843,"score_gpt":0.2452540546182327,"score_spread":0.1663702809432143,"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."}}