{"id":"W2905150721","doi":"10.1029/2018ms001445","title":"Major Issues in Simulating Some Arctic Snowpack Properties Using Current Detailed Snow Physics Models: Consequences for the Thermal Regime and Water Budget of Permafrost","year":2018,"lang":"en","type":"article","venue":"Journal of Advances in Modeling Earth Systems","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":167,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université Laval; Makivik Corporation","funders":"Fondation BNP Paribas; Natural Sciences and Engineering Research Council of Canada; Institut Polaire Français Paul Emile Victor; Center for Neuroscience and Regenerative Medicine; BNP Paribas Cardif; Agence Nationale de la Recherche; Parks Canada","keywords":"Snowpack; Permafrost; Snow; Arctic; Environmental science; Stratification (seeds); Atmospheric sciences; Latent heat; Climatology; Geology; Meteorology; Geomorphology; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0007735293,0.0006124445,0.0005707532,0.0002812012,0.0006178198,0.001143365,0.001066916,0.00103796,0.0006474325],"category_scores_gemma":[0.001600384,0.0004370564,0.0008663624,0.0004114453,0.0004656508,0.0005298566,0.0004554906,0.0006486801,0.00009581993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048048,"about_ca_system_score_gemma":0.001261946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05681752,"about_ca_topic_score_gemma":0.0366293,"domain_scores_codex":[0.9997372,0.0001066333,0.00001821747,0.00003769125,0.00004665785,0.00005367705],"domain_scores_gemma":[0.9993911,0.00027834,0.00006013224,0.00008199359,0.0001222583,0.00006618611],"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":[0.00007041835,0.00007937351,0.008730921,0.00002923622,0.00003926465,0.00004815078,0.00003569292,0.9863068,0.002548265,0.0003059431,0.00008020849,0.001725554],"study_design_scores_gemma":[0.00004614414,0.00006369191,0.003506052,0.00001001818,0.00002306394,0.000009580387,0.0000463433,0.9942595,0.001597052,0.00018008,0.0002474823,0.0000110011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883627,0.0001364575,0.008324764,0.0002279285,0.00002617085,0.0000733853,0.0005176605,0.0002249336,0.002105995],"genre_scores_gemma":[0.9937191,0.00009535644,0.005512998,0.00004267757,0.000008958546,0.00004421619,0.0002570679,0.00002738621,0.000292141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05681752,"threshold_uncertainty_score":0.1129736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09469476834865981,"score_gpt":0.304176169009514,"score_spread":0.2094814006608542,"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."}}