{"id":"W2588092525","doi":"10.1175/jhm-d-16-0153.1","title":"Evaluation of CLASS Snow Simulation over Eastern Canada","year":2017,"lang":"en","type":"article","venue":"Journal of Hydrometeorology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos; Environment and Climate Change Canada","funders":"Environment Canada; Université du Québec à Montréal","keywords":"Snow; Environmental science; Albedo (alchemy); Climatology; Precipitation; Forcing (mathematics); Snowpack; Atmospheric sciences; Meteorology; 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":[0.0003470047,0.0008834924,0.0004533909,0.0005058636,0.00112258,0.0008323927,0.001416294,0.0005881484,0.002402814],"category_scores_gemma":[0.0008901648,0.0003231893,0.0006071204,0.0007881728,0.0004427778,0.0003797936,0.0003519695,0.0004817264,0.0002081235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0075179,"about_ca_system_score_gemma":0.008033815,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9505477,"about_ca_topic_score_gemma":0.916315,"domain_scores_codex":[0.999843,0.00001879864,0.000005663992,0.00003559522,0.00003824572,0.00005864167],"domain_scores_gemma":[0.99957,0.00008180439,0.0000202492,0.00002644008,0.0002351637,0.00006627325],"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":[0.000253944,0.0001123975,0.02580367,0.00004500552,0.00006408102,0.0001043229,0.00006474963,0.9615374,0.001514184,0.0006940265,0.001635102,0.008171005],"study_design_scores_gemma":[0.00005657196,0.0000177209,0.006465544,0.000004019577,0.00001153237,0.000005789141,0.00004499269,0.9919719,0.0006844595,0.00007464011,0.0006524602,0.00001040505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891247,0.00006691652,0.002239468,0.00009180863,0.00002220265,0.00004919475,0.002794309,0.0006435732,0.004967963],"genre_scores_gemma":[0.9929652,0.0000439864,0.002903932,0.00002599011,0.000003480724,0.00002357415,0.0027677,0.00005940743,0.001206785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0494523,"threshold_uncertainty_score":0.09948701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05054600263088387,"score_gpt":0.2875299293118159,"score_spread":0.236983926680932,"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."}}