{"id":"W4239935393","doi":"10.5194/tcd-6-5255-2012","title":"Snow specific surface area simulation using the one-layer snow model in the Canadian LAnd Surface Scheme (CLASS)","year":2012,"lang":"en","type":"preprint","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snowpack; Snow; Environmental science; Energy balance; Atmospheric sciences; Snow field; Albedo (alchemy); Arctic; Climatology; Meteorology; Snow cover; Geology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002184767,0.00077983,0.000496135,0.0003948326,0.0009786447,0.0007938887,0.001513262,0.0007296257,0.002956297],"category_scores_gemma":[0.0006555189,0.0003024395,0.0007727263,0.0008421468,0.0003383376,0.0005416073,0.0003681258,0.0005941842,0.0003089601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005880293,"about_ca_system_score_gemma":0.006515761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9119986,"about_ca_topic_score_gemma":0.8596649,"domain_scores_codex":[0.9998697,0.00001515667,0.000004814506,0.00002902176,0.00003929888,0.00004194426],"domain_scores_gemma":[0.9997043,0.00004809889,0.00001745705,0.00001948997,0.0001658204,0.00004494119],"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":[0.0001077561,0.00007124153,0.007371826,0.00005033646,0.00004599335,0.00005436341,0.00005004735,0.9813704,0.002169444,0.001237379,0.001824439,0.005646774],"study_design_scores_gemma":[0.0000328121,0.0000105001,0.002487202,0.00000267556,0.00001082402,0.000003483846,0.00001285827,0.9962047,0.0004226581,0.0001010425,0.0006986976,0.00001248086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9587938,0.0002462007,0.01495175,0.0003155123,0.000110717,0.0001601893,0.008537518,0.001275996,0.01560817],"genre_scores_gemma":[0.9843276,0.0001064243,0.008925291,0.00004369806,0.000009330243,0.00006107039,0.003747346,0.00009900637,0.00268022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08800137,"threshold_uncertainty_score":0.1770392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1741985404596787,"score_gpt":0.2795015711511486,"score_spread":0.1053030306914699,"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."}}