{"id":"W3155989523","doi":"10.1175/jhm-d-20-0249.1","title":"Evaluation of the snow cover in the Soil, Vegetation, and Snow (SVS) land surface model","year":2021,"lang":"en","type":"article","venue":"Journal of Hydrometeorology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Université Laval","funders":"","keywords":"Snowpack; Snow; Environmental science; Albedo (alchemy); Snowmelt; Climatology; Water equivalent; Snow field; Vegetation (pathology); Snow cover; Snow line; Atmospheric sciences; Interception; Meteorology; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.001721628,0.00005097792,0.0001449093,0.00001785579,0.00007821788,0.00001313471,0.0001206714,0.00003561592,0.000169028],"category_scores_gemma":[0.0005027973,0.00002739837,0.00004442435,0.0002474654,0.0000694599,0.00009362932,0.00001120008,0.0001248787,0.000001857867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004922315,"about_ca_system_score_gemma":0.0001436005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00014682,"about_ca_topic_score_gemma":0.00440679,"domain_scores_codex":[0.9988839,0.0003252509,0.0002552332,0.00006697195,0.000375815,0.00009280775],"domain_scores_gemma":[0.9990274,0.000403781,0.0001999605,0.00009631857,0.0002551587,0.00001736328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000009605589,0.0000169621,0.4209931,0.000003312105,0.00002909232,0.000002912843,0.0006324355,0.5756257,0.00005876704,0.00002497118,0.0003239948,0.002279246],"study_design_scores_gemma":[0.0003784935,0.00006680366,0.7617676,0.000009976648,0.00007516274,0.00005465702,0.0001774282,0.2339592,0.00003268641,0.00319197,0.0002593709,0.00002666901],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925507,0.00410038,0.0001052724,0.002419782,0.000207875,0.00005937295,0.000005401703,6.883214e-7,0.0005505102],"genre_scores_gemma":[0.998953,0.0003516508,0.0002800478,0.0003464554,0.00003529676,2.236395e-7,0.000002337303,0.000001115217,0.00002981196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3416665,"threshold_uncertainty_score":0.2459092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03414754725185067,"score_gpt":0.2524653791105307,"score_spread":0.21831783185868,"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."}}