{"id":"W4393183327","doi":"10.5194/tc-18-1359-2024","title":"Snow mechanical property variability at the slope scale – implication for snow mechanical modelling","year":2024,"lang":"en","type":"article","venue":"The cryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université Laval; Center for Northern Studies; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Fonds de recherche du Québec – Nature et technologies; Public Safety Canada","keywords":"Snow; Snowpack; Geology; Variogram; Terrain; Scale (ratio); Spatial variability; Environmental science; Physical geography; Meteorology; Geomorphology; Kriging; Geography; Cartography; Statistics; Mathematics","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":[0.001163059,0.0002218693,0.0002321178,0.00000498037,0.001049713,0.0001903223,0.0004934621,0.0001293648,0.003050592],"category_scores_gemma":[0.00008954775,0.0001005941,0.0002163754,0.000383687,0.0001205583,0.0001490585,0.00009015159,0.0002603247,0.0003011174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003759211,"about_ca_system_score_gemma":0.00009307003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002168695,"about_ca_topic_score_gemma":0.01334851,"domain_scores_codex":[0.9981631,0.0001237026,0.0003742824,0.0005770648,0.0003168922,0.0004449381],"domain_scores_gemma":[0.9977213,0.001398196,0.00006512303,0.0006025189,0.000107978,0.0001048565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005534026,0.000236965,0.01123809,0.0003648512,0.0005669053,0.000008593034,0.00221223,0.1093252,0.000543171,0.02194362,0.1712536,0.6817533],"study_design_scores_gemma":[0.0001479897,0.00009571952,0.005122539,0.0000357423,0.00009573827,0.00001028441,0.0002504289,0.6419538,0.00009687419,0.01402631,0.3379529,0.0002117693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1993567,0.006603627,0.7293205,0.04196607,0.004561679,0.005917535,0.000932921,0.0008158747,0.01052499],"genre_scores_gemma":[0.9850009,0.0002529334,0.004656394,0.0007030116,0.0005702671,0.0001231158,0.0001470682,0.00002026452,0.008526018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7856442,"threshold_uncertainty_score":0.9978607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03077134077019629,"score_gpt":0.2374370803970381,"score_spread":0.2066657396268418,"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."}}