{"id":"W4388929356","doi":"10.5194/egusphere-2023-2604","title":"Exploring the sensitivity to precipitation, blowing snow, and horizontal resolution of the spatial distribution of simulated snow cover","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Région Auvergne-Rhône-Alpes; Centre National d’Etudes Spatiales","keywords":"Snow; Environmental science; Precipitation; Elevation (ballistics); Climatology; Snow field; Spatial distribution; Meteorology; Atmospheric sciences; Geology; Remote sensing; Snow cover; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000583306,0.0004274652,0.0003186493,0.0002761811,0.0002455347,0.0005886792,0.0004180562,0.0004701889,0.0008867026],"category_scores_gemma":[0.001770059,0.0001881008,0.0004480375,0.0003209824,0.0002672659,0.0003541862,0.0003578649,0.0003807159,0.00009429413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004466084,"about_ca_system_score_gemma":0.000353288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0276688,"about_ca_topic_score_gemma":0.01666979,"domain_scores_codex":[0.9998314,0.00006435388,0.00001256577,0.00003339434,0.00002302054,0.00003530915],"domain_scores_gemma":[0.9992614,0.0004570867,0.00005910087,0.00009694412,0.00008128074,0.00004423096],"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":[0.0001920631,0.0001258309,0.03611202,0.0000519582,0.0001366471,0.00009731855,0.00004648242,0.9490421,0.009296777,0.0002725798,0.0001984253,0.00442777],"study_design_scores_gemma":[0.00002828083,0.0001127205,0.01664465,0.000007976792,0.00002237365,0.00001413027,0.00004902538,0.9784775,0.004325792,0.0001054698,0.0002023459,0.000009767259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966511,0.00005252822,0.001863291,0.00004346072,0.000006909471,0.00001240075,0.0004276881,0.0001358611,0.0008066896],"genre_scores_gemma":[0.9985484,0.00001604354,0.001064072,0.00000991639,0.000001753115,0.000006985947,0.0002734409,0.00001423358,0.00006505502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0276688,"threshold_uncertainty_score":0.0550155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07314576923081216,"score_gpt":0.2412190993017483,"score_spread":0.1680733300709362,"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."}}