{"id":"W4391822611","doi":"10.5194/gmd-17-1297-2024","title":"SnowPappus v1.0, a blowing-snow model for large-scale applications of the Crocus snow scheme","year":2024,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Région Auvergne-Rhône-Alpes; Center for Neuroscience and Regenerative Medicine; Centre National d’Etudes Spatiales; Agence Nationale de la Recherche","keywords":"Snow; Environmental science; Meteorology; Crocus; Scale (ratio); Atmospheric sciences; Climatology; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000498563,0.0001750042,0.0001800991,0.00005883415,0.0008801513,0.0001145802,0.0004099874,0.00006278136,0.0001839235],"category_scores_gemma":[0.00002974714,0.0001242405,0.0001440364,0.0007053331,0.00009192064,0.0001252862,0.00008526838,0.0001049884,0.00006484325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000022323,"about_ca_system_score_gemma":0.0004119571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007589583,"about_ca_topic_score_gemma":0.00307017,"domain_scores_codex":[0.9981963,0.000009033226,0.0004123196,0.0005232006,0.0004151984,0.0004439278],"domain_scores_gemma":[0.9992095,0.00009985088,0.00007234907,0.0003872821,0.0001402199,0.00009079993],"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":[0.00004113583,0.0003156116,0.02304992,0.0005834891,0.0002630373,0.000001576427,0.01918435,0.7267312,0.0004152349,0.007864648,0.06418851,0.1573613],"study_design_scores_gemma":[0.0001237227,0.000004771021,0.006049422,0.00004951726,0.00002217527,8.856206e-7,0.00024567,0.8803377,0.000140288,0.001843824,0.1110245,0.0001575837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06424911,0.001126016,0.9301339,0.0005562765,0.0009387547,0.0009920371,0.0009168214,0.000088159,0.0009988615],"genre_scores_gemma":[0.6463963,0.00008794029,0.2772648,0.0003831866,0.0001137874,0.0003784787,0.0005876945,0.00002292778,0.07476482],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6528692,"threshold_uncertainty_score":0.6769502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02512497936706533,"score_gpt":0.2320470667994514,"score_spread":0.2069220874323861,"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."}}