{"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 cryosphere","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004645608,0.0002155767,0.0001864247,0.000008345564,0.001160113,0.0003416507,0.0005533455,0.0001034808,0.00267622],"category_scores_gemma":[0.00003246397,0.0001157188,0.00007344403,0.000563767,0.0001405094,0.0002512559,0.00002552091,0.0003401277,0.0002538304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004642227,"about_ca_system_score_gemma":0.0001462926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5146109,"about_ca_topic_score_gemma":0.944182,"domain_scores_codex":[0.9983684,0.0001297697,0.0002780079,0.0002877648,0.0003962643,0.0005397954],"domain_scores_gemma":[0.9985085,0.0006530588,0.0001001341,0.0005218748,0.0001085529,0.0001079357],"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":[0.000004601393,0.000008595149,0.2381157,0.000002319767,0.00001414202,0.000001432176,0.0008300866,0.7570127,0.000008460983,0.00004144689,0.003027857,0.0009326289],"study_design_scores_gemma":[0.0001236747,0.0000107045,0.315695,0.0000136998,0.00001062059,0.000001470068,0.001185397,0.6709509,0.000001325662,0.0003499529,0.01152488,0.0001323554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893888,0.00142732,0.0006559704,0.003801048,0.0002131576,0.0006720089,0.00005244832,0.00002456373,0.003764732],"genre_scores_gemma":[0.9963976,0.00009459061,0.001301964,0.001062085,0.0001170081,0.000003124315,0.00003330525,0.00001040336,0.0009798893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4295711,"threshold_uncertainty_score":0.9982355,"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."}}